1136 Probability Jobs - Page 8

The position of Debt Strategic Analytics Analyst at Deutsche CIB Centre Pvt Ltd in Mumbai, India involves working within the Strategic Analytics Group to implement quant-driven analytics on a common platform at Deutsche Bank. The Strategic Analytics Group collaborates closely with onshore teams in New York, London, Frankfurt, and Singapore to meet functional and regulatory requirements aligned with specific business verticals. The primary focus of this role is on the Corporate Banking business of the bank, working in conjunction with strats teams and business desks in London and New York to deliver optimized solutions on a scalable platform. The candidate will be responsible for understanding business requirements, gathering necessary information, and implementing projects utilizing Python and C++ programming languages. Effective communication skills are essential to coordinate with stakeholders globally. The role entails various responsibilities, including implementing IRRBB regulatory requirements for Corporate Banking, developing frameworks for projecting Net Interest Income, identifying risk factors, conducting what-if scenarios, performing End of Day Risk and PnL calculations for Global Transaction Banking products, optimizing funding requirements, and institutional loan profiles based on deposits and regulatory requirements per region. Applicants are required to have strong programming skills in Object-Oriented Programming languages with at least 2 years of experience in the financial industry, knowledge of Data Structures & Algorithms, and experience working with relational databases like Oracle and Mysql. Quantitative skills in Probability, Calculus, and Linear algebra, along with familiarity with financial products and pricing/risk calculation, are preferred. Strong communication, presentation, problem-solving, and analytical skills are essential, with an inclination to learn Finance and econometrics on the job. A solid educational background in Engineering/Science from Tier 1 colleges in India is preferred. Deutsche CIB Centre Pvt Ltd offers a range of benefits, including best-in-class leave policies, gender-neutral parental leaves, flexible working arrangements, childcare assistance, Employee Assistance Program, comprehensive insurance coverage, and more. Additionally, the company provides training, coaching, and a culture of continuous learning to support career development and personal growth. Deutsche Bank Group fosters a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. The company values diversity, inclusivity, and fairness in the workplace, promoting a positive work environment for all individuals. Applicants are encouraged to visit the company's website for further information and to apply for this exciting opportunity in Debt Strategic Analytics.,

Data Engineer Location: Mohali, India Posted on: July 20, 2023 Description As a Data Engineer, you will be responsible for collecting, managing, and converting raw data into information that can be interpreted by data scientists and business analysts. Data accessibility is your ultimate goal, which is to enable organizations to utilize data for performance evaluation and optimization. At Grazitti, we are actively seeking a Data Engineer, with 4 years of experience combining data from different sources and strong coding skills in Python or PySpark. Besides, the ideal candidate should be familiar with Spark, Big Data technologies, ETL, SQL/NoSQL DB, Linux/Unix, and Streaming technologies like Kafka or Kinesis, Apache Airflow, Data Modelling, and Persistence Optimization. Skills Key Skills Proficiency in Amazon AWS or Microsoft Azure. Hands-on experience with Apache Airflow for workflow management. Sound understanding of Data Modeling & Persistence Optimization. Experience with analytics platforms such as Tableau, POWER BI, AWS, GCP, etc. Working experience with Marketing & Sales data. Strong analytical skills, attention to detail, and excellent writing skills. Excellent logical reasoning, time management, and listening skills. Coding background with hands-on experience in Python/PySpark. Clear understanding of statistics and probability concepts. Ability to act as a liaison between different teams and handle multiple parallel projects. Tech-savvy, highly motivated, a self-starter, and a team player. Ability to perform under pressure. Analytical & critical thinking capabilities. OOPS programming competencies. Mathematical skills. Excellent communication skills. Responsibilities Roles and Responsibilities Consult with data management teams to understand the company's data storage needs. Design and code the data warehouse system based on company specifications. Conduct preliminary testing of the warehousing environment before data extraction. Extract and transfer company data into the new warehousing environment. Test the new storage system thoroughly after data transfer. Troubleshoot and resolve any issues that may arise during the process. Provide maintenance support for the data warehousing system. Adhere to internal QMS (Quality Management System) procedures and Information Security Controls as per the implemented ISMS (Information Security Management System) of the Organization. Report incidents to the immediate Reporting Manager/Supervisor promptly. Contacts Email: careers@grazitti.com Address Grazitti Interactive 2nd floor, Landmark Plaza, F3 Towers QuarkCity SEZ, A-40A, 160059, Mohali, Sector 62, Sahibzada Ajit Singh Nagar, Punjab, India

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider of choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years. About the Role: At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious subject matter experts. We are seeking a Mathematics Subject Matter Expert with exceptional writing and analytical skills to join our AI/ML data team. In this role, you will help train advanced Large Language Models (LLMs) by producing, curating, and reviewing high-quality educational and technical mathematics content. Your expertise will directly shape the way AI systems understand, explain, and reason about fundamental and advanced mathematical concepts. Key Responsibilities: Create high-quality, accurate, and pedagogically sound content in mathematics, including: Conceptual explanations Problem sets and solutions Theoretical summaries and derivations Research abstracts and technical writing Collaborate with AI researchers and engineers to: Review and refine mathematics-related model outputs Identify and fill conceptual gaps in LLM training data Build datasets across various mathematics domains (e.g., Algebra, Calculus, Geometry, Linear Algebra, Probability, Statistics, Number Theory, Discrete Math, etc.) Provide feedback to improve LLM performance in reasoning, solving, and communicating mathematical content Eligibility Criteria: PhD in Mathematics or a closely related discipline (MS with exceptional experience may be considered) Strong background in theoretical and/or applied mathematics Excellent technical and academic writing skills As part of the project, you are required to complete the English language assessment. *The assessment is mandatory & non-billable* If interested, kindly share your updated resume at : tsingh3@innodata.com

Company Description Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $5 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You’ll Work With Arista Networks is looking for a Software Developer to build and implement software tools and Machine Learning models. The ADE will work with other Developers throughout the software development life cycle. The role necessitates Team Player abilities with a keen eye for detail and problem-solving skills. If you also have experience in Agile frameworks and popular Machine learning models, we’d like to meet you. The goal will be to build efficient programs and systems that serve user needs Collect, process, and clean large data sets from various sources. What You’ll Do Design machine learning systems Apply statistical analysis and machine learning techniques to solve complex business problems. Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Visualize data and present findings to stakeholders using data visualization tools. Verify and deploy programs and systems Troubleshoot, debug and upgrade the existing systems Recommend and execute improvements Create technical documentation for reference and reporting Collaborate with cross-functional teams to implement data-driven solutions. Stay updated with the latest advancements in data science and machine learning. Study and transform data science prototypes Qualifications Bachelor’s Degree in Computer Science from a four-year college or university or related experience and/or training; or equivalent combination of education and experience. 5 to 8 years experience. Attention to detail Knowledge of Python and SQL. Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data visualization tools such as Tableau, Power BI, or Matplotlib. Experience in using Jupyter notebooks to collaborate on research is a plus. Familiarity with Agile software development methodology Creative thinker and team player Should be ready to adopt new technologies Excellent communication skills Resourcefulness and troubleshooting aptitude Nice To Have Working experience in docker and K8s deployments Working Experience in AWS/GCP Working experience with Network technologies Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.

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Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Delivery Manager - Salesforce Job Date: Jun 21, 2025 Job Requisition Id: 61387 Location: Pune, MH, IN Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire Salesforce Professionals in the following areas : Experience 15-19 Years Job Description Collaborate with cross-functional teams to ensure program success. Define program scope, objectives, and success criteria. Develop and maintain relationships with key stakeholders and clients. Develop and maintain program plans, including schedules, budgets, and resource allocation. Ensure program delivery within defined timelines and scope. Establish program management best practices and standards. Identify, manage, and mitigate program-level risks, issues, and dependencies. Lead program status meetings and provide regular updates to senior management and stakeholders. Manage large and complex programs consisting of multiple projects and initiatives. Monitor program budget and resource utilization, and drive profitability and growth of the program. Provide mentorship and guidance to project and program managers. Know customer business, their landscape and roadmap ahead to align project deliverables with customer's strategic objectives, anticipate future needs and provide valuable insights and recommendations throughout project and future requirements if any. Required Technical/ Functional Competencies Customer Management: Expert knowledge of customer's business domain and technology suite. Identify key influencers, convince customers, demonstrate leadership, present technical offerings, proactively suggest solutions, and negotiate to bring closure on open action items. Delivery Management: Expert knowledge in deal modeling, commercial and pricing models. Create complex estimates and get approvals including commercial inputs and large complex deals. Manage multiple complex account (>10m), and benchmark practices regarding tools and templates for account management. Domain/ Industry Knowledge: Expert knowledge of clients’ business processes and conceptualizing technology solutions. Provide thought leadership, out-of-the-box thinking, and best practices for addressing domain processes. Change Management: Recognized as a thought leader in change management and actively contributes to its development and evolution. Lead large-scale change management initiatives and transformations. Product/ Technology Knowledge: Expert knowledge of platform/product & associated technologies. Recommend products to clients and drive creation of generic offerings and accelerate product/technology solutions. Ensure consistent reusability of tools & best practices across projects and influence product/ technology selection strategy. Profitability Management: In-depth proficiency in profitability and cost management. Can analyze project financial data, identify trends, and proactively address budgetary issues. Have deep understanding of cost drivers and can provide accurate cost forecasts. Look for opportunities to optimize costs and enhance profitability. Project Management: Is a recognized expert in project management and has a proven track record of successfully managing large, complex projects. Comprehensive understanding of project management principles, methodologies, and tools. Provide guidance and mentorship to other project managers. Scheduling And Resource Planning: Expert in global delivery models covering skill levels, skill mix and onsite/offshore work allocation. Create accurate resource plans for people, space and infrastructure for given requirements and optimize the schedule for complex projects. Forecast people and skill requirements to align with plans and proactively manage resource planning risks. Create competency enhancement plans to fit existing resources for the requirements. Service Support And Maintenance: Plan and execute transition for large/ complex activities. Define standards in transition management based on industry trends and contribute to building tools and accelerators for KT process. Optimize resource utilization based on demand from customers. Select and define SLAs; track service levels and analyze impact of SLA on complex processes and deliverables. Risk Management: Specialized level of expertise in risk management. Proactively identify risks, assess their probability and impact, and develop comprehensive risk management plans. Effectively communicate risk-related information to stakeholders, recommend appropriate risk response strategies, and monitor risk throughout the project lifecycle to maximize results and meet deadlines. Required Behavioral Competencies Leadership Competencies as Applicable- Vision Alignment: Create action plan based on Business objectives. Manages all the internal and external issues that may affect the organization's vision, mission and objectives. Leads & directs a strategic planning team to address & outline the future direction of Department. Prioritize the work based on Department’s priority. Demonstrates a "can do" attitude and is willing to stretch self to achieve and exceed defined goals/targets. Decision Making: Clearly identifies implication of decisions on their teams/ departments and keep them in mind while decision making. Balance conflicting stakeholder concerns while making decisions. Takes timely decisions that may have significant impact based on one’s earlier experience. Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team. Building High Performing Teams: Provides required resources to team for executing plans & recognizes the value of teamwork. Builds rapport & facilitates trust building within the team. Encourages the under-performers to raise their performance level. Displays sensitivity in interactions and strives to understand others’ views and concerns. Coaching Mindset: Communicate clear objectives and measurable standards of success. Actively provides timely, specific and constructive feedback impacting performance. Identifies strengths/ development areas and suggests detailed action plans for leveraging/ improving them. Change Advocate: Considers innovative ideas provided by others. Adapts the change effectively using quality control systems & methods. Implements cutting edge ideas to develop business unit services. Demonstrates the willingness to work through the change transition. Effectively communicates the plan of Change. Certifications ITIL (Information Technology Infrastructure Library) Foundation, Lean Six Sigma Green Belt At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

Leads and oversees risk management for the division, ensuring that risk matters are considered and addressed. Ensures the development and implementation of effective divisional controls and oversight. Leads risk initiatives with broad scope, scale and complexity. About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard’s India Office Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary: The Senior Manager, Divisional Risk leads and oversees risk management for the division, ensuring that risk matters are considered and addressed. Ensures the development and implementation of effective divisional controls and oversight. Leads risk initiatives with broad scope, scale and complexity. Responsibilities also include identifying and evaluating financial, operational, market and regulatory risks; conducting risk analysis and modeling to assess vulnerabilities; and developing procedures to monitor, report and mitigate risk exposures. Responsibilities: Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures. Designs, implements, and leads the divisional risk management program. Provides divisional oversight to the enterprise and partners based on the operational and strategic risk framework. Maintains strong relationships with key stakeholders of aligned division. Responsible for implementing a strong risk culture across division. Partners with key stakeholders to establish and implement risk and control management standards within the division's processes, based on the divisional risk profile and enterprise and divisional policies. Provides vision and leadership regarding existing and emerging risks, in alignment with strategic priorities. Effectively communicates strategies and plans to all appropriate parties. Ensures that the division has an appropriate level of review and key controls, and that key controls are designed and operating effectively in accordance with established standards. Provides consultation and analytical support to key stakeholders as needed, and ensures internal controls are properly implemented without compromising client service. Partners with the division's leadership team to ensure business risk and control decisions are made during the design and development of technology and service or operating model changes. Proactively raises and executes plans to address key issues. Develops, maintains, and evolves a comprehensive program for monitoring and analyzing controls. Establishes metrics, dashboards, and reports that are distributed regularly and can be used to identify potential control opportunities, as well as monitor the effectiveness of the controls in place. Reports to department leadership on controls across the department. Ensures readiness for regulatory inspections and examinations. Addresses gaps both pro-actively and reactively. Evaluates and recommends change, as needed, and in coordination with key business partners. Develops and maintains in-depth knowledge and awareness of the investment industry, risk management practices, and regulatory and/or policy changes. Serves as a subject matter expert on risk management discussions. Takes an active role in industry forums and remains current on issues and regulatory events affecting the division, firm, and industry. Participates in special projects and performs other duties as assigned. Oversees identification and characterization of potential financial, operational, and regulatory risks, including assessment of critical asset vulnerability. Leads development of risk modeling efforts to assess probability, impact, and valuation of potential risk events to support mitigation strategies. Ensures divisional alignment with enterprise insurance strategies, including coverage optimization across property, liability, and executive risk. Drives stakeholder and regulatory risk reporting, ensuring data integrity and responsiveness to evolving requirements. Qualifications: Minimum 12 years of relevant work experience, with at least 8 years focused on risk management, enterprise risk, or internal controls; previous team leadership or managerial experience strongly preferred. Bachelor’s degree in accounting, Finance, Business Administration, Economics, Commerce, Engineering, or related field; master’s degree (CA, MBA, M. Com, M.Sc. Risk Management, etc.) preferred. Deep expertise in risk identification, modeling, internal control frameworks, stakeholder communication, and regulatory risk reporting. Strong leadership, strategic vision, and influence across business and governance teams. Location This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview The Senior DevSecOps Engineer is a highly technical individual with a strong understanding of web application security and software development lifecycle (SDLC). Working closely with other members of the team and reporting directly to the Security Engineering Manager, you will assist in the day-to-day operation of the TriNet's global app sec program. This will include (but is not limited to) developing new ways to detect and mitigate application security vulnerabilities through tooling and hands on testing. This position will also monitor, detect, response and lead any incident response related to application security. As a long-term goal, this position will analyze to discover anti-patterns within Trinet application ecosystem for making long lasting impact to how Trinet builds its software. Locations India (On-site) What you will do Assist in the day-to day operation of the organization's global app sec program. Develop secure software testing and validation procedures by fine tuning custom rules in SAST/DAST tooling Conduct security QA testing on high-risk product features (i.e. pen testing) Perform risk analysis (e.g., threat, vulnerability, and probability of occurrence) in conjunction with an application or system major change. Analysis to discover anti-patterns within the application ecosystem in support of strategic software goals. Provide support to dev teams in developing unit test cases that assures against business logic flaws and missing authorization checks. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science, Information Technology, Cybersecurity or a related field required Experience Qualifications Typically 5+ years experience in a security or similar technical role required Experience with penetration testing, SAST/DAST tuning implementation, etc required Skills and Abilities Skill in penetration testing principles, tools, and techniques. Skill in building custom rules and implementing SAST/DAST tools Skill to apply cybersecurity and privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication, non-repudiation) Knowledge of Application Security Risks (e.g. Open Web Application Security Project Top 10 list) Knowledge of system and application security threats and vulnerabilities (e.g., buffer overflow, mobile code, cross-site scripting, Procedural Language/Structured Query Language (PL/SQL) and injections, race conditions, covert channel, replay, return-oriented attacks and malicious code) Knowledge of Personally Identifiable Information (PII) and Personal Health Information (PHI) data security standards. Knowledge of programming language structures and logic. Knowledge of Agile software development models Skill in secure test plan design (e. g. unit, integration, system, acceptance). Ability to apply cybersecurity and privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication, and non-repudiation) Licenses and Certifications Certified Ethical Hacker (CEH) preferred or Offensive Security Certified Professional (OSCP) preferred or GIAC Web Application Penetration Tester (GWAPT) or equivalent preferred Travel Requirements minimal Work Environment Work in clean, pleasant, and comfortable office setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. Work is 100% In-Office in Hyderabad Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact India.Careers@trinet.com to request such an accommodation.

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive. This role is based in India and as such all normal working days must be carried out in India. Job description Join us as a Risk Quants Associate This is a great opportunity for someone with experience in a quantitative role to join our Risk function You’ll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations This role will provide you with a platform to keep building your knowledge and expertise, and offers you great exposure for you and your work We're offering this role at associate level What you'll do As a Risk Quants Associate, you’ll be supporting a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring. This key role will also see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics. Day-to-day, you’ll also be: Providing a phased delivery of the simulation models and pricer prototypes Producing model documentation to be delivered to the PRA for internal review Advising senior management on and actively managing a project’s non-delivery risk Making sure that adequate documentation is produced for governance Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes The skills you'll need We’re looking for someone with significant experience in a quantitative role of specified asset classes, including credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency. You’ll also demonstrate: Exceptional Problem-Solving Skills. Ability to approach complex challenges with analytical rigor and creativity. Strong Quantitative and Statistical Expertise. Solid foundation in probability theory, statistics, calculus and data analysis techniques. Proficient Programming Skills .Python or similar languages for data analysis and model development. Financial and Risk Acumen.Good understanding of financial instruments and core risk concepts. Attention to Detail. Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis. Effective Communication. Ability to explain technical concepts effectively to both technical and non-technical audiences.

Job Description About the Day-to-Day Responsibilities of the Role Perform sophisticated risk analyses using Verisk's cutting-edge technology for insurers, brokers, and other financial intermediaries in the internationally expanding business of catastrophe risk management Add value to modelled results through customization of output tailored to the needs of clients Perform change management analyses for updates models and Verisk’s Next Generation Models to assist with client adoption Perform portfolio management studies for determining growth strategies, developing scoring templates and risk metrics Manage and participate on internal projects such as testing of new software features and model releases Communicate directly with clients to develop project timelines and manage deliverable expectations, working jointly with global Verisk teams Help clients reliably assess and manage their catastrophe loss potential through interpretation of modelling results Provide day to day client support helping clients use Verisk’s software platforms and understand Verisk’s catastrophe models and their output, including providing training sessions to clients. Qualifications About You and How You Can Excel in This Role Requirements Strong analytical and quantitative skills, a solid understanding of probability concepts, excellent problem-solving skills and a commitment to client services. Experience Range: 1+ years Working knowledge of insurance and reinsurance Knowledge of Touchstone Re and /or Touchstone required or equivalent catastrophe modeling platform Excellent communication, time management and organizational skills Experience using Microsoft Office is essential and knowledge and understanding of the insurance/ reinsurance markets is preferred. Ability to code in languages such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable. Education A degree in science, engineering or mathematics is preferable. About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. Leveraging AI technology, we discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform encompasses creative strategy and execution. With over 14 years of experience in the industry, we manage 5 million mobile ad requests per second from over 10 billion devices, driving performance for publishers and brands. Headquartered in San Francisco, CA, we have a global presence across the United States, EMEA, and APAC. We are looking for a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will play a key role in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). Collaborating closely with senior research scientists and other team members, you will contribute to impactful data science projects and innovative solutions. This position is based in our Bengaluru, India office and requires on-site presence five days a week. Join us in our mission to push the boundaries of AI and mobile advertising in a collaborative environment that nurtures creativity and growth. We offer a competitive salary, comprehensive benefits, and ample opportunities for career advancement. **Role & Responsibilities:** - Develop and deploy machine learning models at scale to tackle challenges in programmatic advertising like user response prediction, bid landscape forecasting, and fraud detection. - Conduct exploratory data analysis and apply statistical techniques to derive insights and support decision-making. - Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation. - Collaborate with senior data scientists and cross-functional teams to integrate models into production systems and applications. - Assist in establishing best practices for model deployment, monitoring, and performance assessment. - Stay abreast of recent developments in machine learning and data science, applying relevant techniques to solve complex problems and enhance our platform. - Contribute to exploring and adopting new methodologies and technologies to advance our data science capabilities. **Skills & Experience:** - Minimum of six years in data science with practical experience in machine learning, statistical analysis, and data modeling. - Bachelor's degree in Mathematics, Physics, Computer Science, or a related technical field. Master's degree is a plus. - Additional proficiency in programming languages like Rust, C++, Java, and Scala, as well as large-scale data processing systems is preferred. - Familiarity with RTB, auction theory, and high-throughput low-latency environments is advantageous. - Strong proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch. - Proficiency in Python and SQL, familiarity with Spark, and experience with TensorFlow/PyTorch and Scikit-Learn libraries. - Solid understanding of probability, statistics, and data analysis. - Ability to work effectively within a team environment, with excellent communication skills to articulate complex concepts to diverse stakeholders.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

Join us as a Risk Quants Associate This is a great opportunity for someone with experience in a quantitative role to join our Risk function You’ll be working closely with quantitative analysts across asset classes to identify and assess diffusion models and pricer approximations This role will provide you with a platform to keep building your knowledge and expertise, and offers you great exposure for you and your work We're offering this role at associate level What you'll do As a Risk Quants Associate, you’ll be supporting a team of quantitative analysts and technical specialists, providing quantitative and technical mentoring. This key role will also see you providing model, pricing and functional specifications of the models for the various asset classes, and for the subsequent validation by risk analytics. Day-to-day, You’ll Also Be Providing a phased delivery of the simulation models and pricer prototypes Producing model documentation to be delivered to the PRA for internal review Advising senior management on and actively managing a project’s non-delivery risk Making sure that adequate documentation is produced for governance Assisting our IT department in implementing the models, and overseeing the implementation of the functional specifications back-testing against the prototypes The skills you'll need We’re looking for someone with significant experience in a quantitative role of specified asset classes, including credit valuation adjustments, expected positive exposure, building valuation models, optimising pricing routines and computing efficiency. You’ll Also Demonstrate Exceptional Problem-Solving Skills. Ability to approach complex challenges with analytical rigor and creativity. Strong Quantitative and Statistical Expertise. Solid foundation in probability theory, statistics, calculus and data analysis techniques. Proficient Programming Skills.Python or similar languages for data analysis and model development. Financial and Risk Acumen.Good understanding of financial instruments and core risk concepts. Attention to Detail. Careful and thorough approach to data, models, and documentation, ensuring accuracy and reliability in all aspects of analysis. Effective Communication. Ability to explain technical concepts effectively to both technical and non-technical audiences.

About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard’s India Office Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary: The Senior Manager, Divisional Risk leads and oversees risk management for the division, ensuring that risk matters are considered and addressed. Ensures the development and implementation of effective divisional controls and oversight. Leads risk initiatives with broad scope, scale and complexity. Responsibilities also include identifying and evaluating financial, operational, market and regulatory risks; conducting risk analysis and modeling to assess vulnerabilities; and developing procedures to monitor, report and mitigate risk exposures. Responsibilities: Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures. Designs, implements, and leads the divisional risk management program. Provides divisional oversight to the enterprise and partners based on the operational and strategic risk framework. Maintains strong relationships with key stakeholders of aligned division. Responsible for implementing a strong risk culture across division. Partners with key stakeholders to establish and implement risk and control management standards within the division's processes, based on the divisional risk profile and enterprise and divisional policies. Provides vision and leadership regarding existing and emerging risks, in alignment with strategic priorities. Effectively communicates strategies and plans to all appropriate parties. Ensures that the division has an appropriate level of review and key controls, and that key controls are designed and operating effectively in accordance with established standards. Provides consultation and analytical support to key stakeholders as needed, and ensures internal controls are properly implemented without compromising client service. Partners with the division's leadership team to ensure business risk and control decisions are made during the design and development of technology and service or operating model changes. Proactively raises and executes plans to address key issues. Develops, maintains, and evolves a comprehensive program for monitoring and analyzing controls. Establishes metrics, dashboards, and reports that are distributed regularly and can be used to identify potential control opportunities, as well as monitor the effectiveness of the controls in place. Reports to department leadership on controls across the department. Ensures readiness for regulatory inspections and examinations. Addresses gaps both pro-actively and reactively. Evaluates and recommends change, as needed, and in coordination with key business partners. Develops and maintains in-depth knowledge and awareness of the investment industry, risk management practices, and regulatory and/or policy changes. Serves as a subject matter expert on risk management discussions. Takes an active role in industry forums and remains current on issues and regulatory events affecting the division, firm, and industry. Participates in special projects and performs other duties as assigned. Oversees identification and characterization of potential financial, operational, and regulatory risks, including assessment of critical asset vulnerability. Leads development of risk modeling efforts to assess probability, impact, and valuation of potential risk events to support mitigation strategies. Ensures divisional alignment with enterprise insurance strategies, including coverage optimization across property, liability, and executive risk. Drives stakeholder and regulatory risk reporting, ensuring data integrity and responsiveness to evolving requirements. Qualifications: Minimum 12 years of relevant work experience, with at least 8 years focused on risk management, enterprise risk, or internal controls; previous team leadership or managerial experience strongly preferred. Bachelor’s degree in accounting, Finance, Business Administration, Economics, Commerce, Engineering, or related field; master’s degree (CA, MBA, M. Com, M.Sc. Risk Management, etc.) preferred. Deep expertise in risk identification, modeling, internal control frameworks, stakeholder communication, and regulatory risk reporting. Strong leadership, strategic vision, and influence across business and governance teams. Location This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Ciklum is looking for an Expert Architect to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As an Expert Architect, become a part of a cross-functional development team engineering experiences of tomorrow. You will join a highly motivated team and will be working on a modern solution for our clients. We are looking for technology experts who want to make an impact on new businesses by applying best practices and taking ownership. Responsibilities: Identify key business stakeholders and establish communication with them Identify business goals and objectives Gather primary functionality, quality characteristics of software behavior and given constraints Elaborate business, information and technology architectures mapping Elaborate architecture vision which satisfies architecturally significant requirements; through trade-off analysis, proof of concepts implementation, and benchmarking Set up and manage architecture design and documentation processes Document and communicate architecture decisions and trade-offs to major stakeholders Review and validate design decisions made by downstream and ensure they satisfy the solution architecture vision Organises and maintains knowledge assets Conducts recruitment interviews Facilitates selection, assessment and onboarding processes Sets performance targets, and monitors progress against agreed quality and performance criteria Uses consistent processes for identifying potential risk events, quantifying and documenting the probability of occurrence and the impact on the business Identifies the communications and relationship needs of stakeholder groups Implements stakeholder engagement/communications plan Develops, evolves and adapts innovation tools, processes, and infrastructures to drive the process of innovation Contributes to the development of policies, standards and guidelines for strategy development and planning Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! Architecture: Leads the development of systems architectures in specific business, infrastructure or functional areas Ensures that appropriate tools and methods are available, understood and employed in architecture development Provides advice on technical aspects of solution development and integration Ensures that relevant technical strategies, policies, standards and practices are applied Software Design: Selects, adopts and adapts appropriate systems design methods, tools and techniques Undertakes impact analysis on major design options and trade-offs Contributes to the development of systems design policies and standards and selection of architecture components Comprehensive understanding of paradigms, principles, and methodologies such as SOLID, GRASP, TDD, and DDD Strong foundation in designing solutions that adhere to development standards focused on the most prominent qualities such as operation excellence, security, reliability, performance efficiency, cost optimization and sustainability Requirements and release management: Plans and drives scoping, requirements definition and prioritisation activities for large/complex initiatives Takes responsibility for understanding client requirements, collecting data, delivering analysis and problem resolution Plans, organizes and conducts audits and determines whether appropriate quality control has been applied Leads the assessment, analysis, planning and design of release packages, including assessment of risk Conducts post-release reviews Ensures release processes and procedures are applied and that releases can be rolled back as needed Business skills: Employing Business Acumen to align technology solutions effectively with organizational objectives Demonstrating Strategic Thinking by anticipating future business needs and designing scalable architectures accordingly Demonstrating strong Leadership Skills by motivating cross-functional teams, guiding decision-making processes, and fostering collaboration Identifying and mitigating risks associated with technology investments and architectural decisions through effective Risk Management Navigating organizational changes adeptly and managing resistance to ensure smooth transitions, exemplifying effective Change Management Monitor and maintain financial records, assist IT with financial tasks, and contribute to financial planning, and budgeting Desirable: Certifications on: Architecture framework (SEI, TOGAF, etc.) Cloud providers (Microsoft Azure, Amazon AWS, Google GCP) Delivery processes (SAFe, Agile, etc.) What's in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility: hybrid work mode at Chennai or Pune Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram , Facebook , LinkedIn . Explore, empower, engineer with Ciklum! Experiences of tomorrow. Engineered together Interested already? We would love to get to know you! Submit your application. Can’t wait to see you at Ciklum.

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. About The Role We seek a skilled Lead Data Scientist to join our team and help build “Collection Campaign Recommendations/ Optimizations” As a Lead Data Scientist, you will be key in designing, developing, and deploying ML/ RL models that experiments and optimizes the collection campaigns across digital,telecalling and field. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities Develop, implement, and maintain advanced analytical models and algorithms specifically geared toward improving debt collection processes. Collaborate with business stakeholders to identify key opportunities for data-driven improvements in debt collection strategies. Enhance existing models and incorporate new data sources to continuously optimize our approach. Own the end-to-end process of metric design, tracking, and reporting related to debt collection performance. Continuously improve and update metrics to align with business objectives and regulatory requirements. Communicate findings effectively with both technical and non-technical stakeholders. Mentor, train, and support junior data scientists, fostering a culture of continuous improvement and collaboration Lead cross-functional teams on data projects, ensuring alignment between data science initiatives and business goals Stay abreast of the latest industry trends, tools, and best practices in analytics and debt management. Requirements Experience: 8 to 10 years Required Skills Technical Skills In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk. Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models. Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python. Working knowledge of PySpark ( Good to have ) Proficiency in building and deploying models on cloud platforms (AWS). Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. Experience with NLP techniques is good to have Domain Skills ( Good to have ) Prior domain expertise in debt collection processes, including credit risk assessment, regulatory compliance, and industry best practices. Proven ability to design, implement, and optimize performance metrics and key performance indicators tailored specifically for debt recovery initiatives. Education and Experience Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5 to 8 years of experience in the data science and machine learning domain Experience in the financial sector or Collection team is a bonus.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Role : Senior Data Scientist Experience: 3 to 5 years About the Role: We seek a skilled Senior Data Scientist to join our team in building a cutting-edge Credit Risk Machine Learning platform. This platform delivers sophisticated credit scoring models and transparent explanations behind each score to support clients' credit monitoring and management activities. As a Senior Data Scientist, you will be key in designing, developing, and deploying machine learning models that assess credit risk, ensuring high accuracy, interpret ability, and compliance with regulatory requirements. Your experience in machine learning, credit risk modelling, and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities: Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape and client requirements. Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery. Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance. Stay updated on industry trends, regulations, and emerging technologies to improve the models continuously and the platform. Provide mentorship and guidance to junior data scientists and engineers within the team. Required Skills: Technical Skills Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modelling techniques, to extract insights and validate machine learning models.: Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explain ability techniques (e.g. SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python and working knowledge of PySpark. Proficiency in building and deploying models on cloud platforms (AWS). Experience with NLP techniques is good to have. Domain Skills: Ability to collaborate with finance and risk teams to ensure model outputs align with business objectives and regulatory requirements. Familiarity with key financial instruments, regulatory frameworks (e.g., Basel III, IFRS 9), and their impact on risk assessment models. Education and Experience: Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 3 to 5 years of experience in the data science and machine learning domain Experience in the financial sector or credit risk management is a bonus.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed-income securities platform for wealth managers & financial advisors to channel client investments in fixed-income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investor,s and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements About the Role Data Scientist - Credit Risk /Fraud Models Experience: 2 to 4 years We seek a skilled Data Scientist to join our team and help build a cutting-edge Credit Risk Machine Learning platform. This platform delivers sophisticated credit scoring models and transparent explanations behind each score to support clients' credit monitoring and management activities. As a Data Scientist, you will be key in designing, developing, and deploying machine learning models that assess credit risk, ensuring high accuracy, interpretability, and compliance with regulatory requirements. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities Build and develop credit risk/fraud models to assess risk, ensuring high accuracy and explainability of the models to comply with regulatory frameworks and requirements. Lead the development of a machine learning platform that empowers clients to build and customize their risk models, enabling more tailored risk management solutions. Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape, and client requirements. Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery. Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance. Stay updated on industry trends, regulations, and emerging technologies to continuously improve the models and the platform. Provide mentorship and guidance to junior data scientists and engineers within the team. Requirements Technical Skills In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk. Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models. Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explainability techniques (e.g. SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python. Working knowledge of PySpark ( Good to have ) Proficiency in building and deploying models on cloud platforms (AWS). Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. Experience with NLP techniques is good to have Domain Skills ( Good to have ) Prior experience collaborating with finance and risk teams to ensure the model outputs align with business objectives and regulatory requirements. Basic understanding of credit risk management processes, including credit scoring, default probability estimation, and financial regulations. Basic working knowledge of finance and credit risk concepts, such as loan performance metrics, creditworthiness, and risk mitigation strategies. Education and Experience Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 2 to 4 years of experience in the data science and machine learning domain Experience in the financial sector or credit risk management is a bonus. Benefits We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Job Title : Manager – Advisory Services Entity : MA Line of Business/Department: Banking BU – Customer Engagement Location : Gurgaon/Bangalore Full Time / Part Time : Full Time Reporting to : Peeyush Tiwari Skills and Competencies Solid work experience of 5-7 years in the credit risk model development. Experience garnered in consulting, analytics, research firms with a focus on banking/credit risk analytics, or within the regulatory risk analytics departments of banks. A deep understanding and proven expertise in credit risk analytics and model development. In depth understanding of statistical modelling techniques like Linear Regression, Logistic regression etc. A thorough knowledge of banking regulations and accounting standards is essential, including but not limited to CCAR/DFAST, IFRS 9 / CECL, Basel II & III, and model risk management frameworks. Technical proficiency with tools such as R/Python, SAS/SQL, and MS Office suite (Excel, Access, PowerPoint), alongside programming in VBA, is required. While not mandatory, certifications such as Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or Certificate in Quantitative Finance (CQF) will be viewed favourably. Education Education background in Engineering or a Postgraduate degree in Business, Statistics, Mathematics, Economics, or other related quantitative disciplines from top-tier institutions. Responsibilities This position is centred around the comprehensive management of various projects, encompassing the development of models for Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), adherence to IFRS 9/CECL regulations, execution of stress tests, assessment of climate risks, development of loan lifecycle models, and performing detailed analyses in alignment with Basel regulations and additional regulatory directives. Develop customized models tailored for banking clients to calculate Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), Expected Credit Loss (ECL), and additional quantitative risk metrics. Work on onboarding and application of Moody's quantitative tools to comply with an array of credit risk regulations, ensuring a seamless onboarding process. Taking the lead on various project facets, overseeing the entire lifecycle of client engagements from the initial development of models, through the meticulous preparation of documentation, to the crafting and delivery of compelling presentations. Cultivating and sustaining trust among clients by demonstrating unparalleled subject matter expertise and a relentless pursuit of excellence, aimed at both retaining current clients and attracting new ones. Engaging in proactive collaboration with the client engagement and sales departments, contributing to the creation and delivery of persuasive pre-sales documentation and customized client proposals. Exhibiting leadership in innovation through the initiation and inventive development of customized solutions, specifically tailored to navigate the distinct challenges presented by clients. Acquiring and maintaining an exhaustive understanding of pertinent regulations, ensuring the flawless integration of these requirements into the outcomes of projects, thus guaranteeing regulatory compliance in every deliverable. Undertaking travel to client sites and Moody's offices as needed, to ensure the responsibilities of the role are met with the highest standards of service and commitment. About the team Our Banking BU is responsible for assisting lending institutions with pivotal decision-making processes that influence their operations, particularly in loan provisioning, risk management, and strategic financial planning for their future. Utilizing innovative software solutions alongside reliable analytics, we empower these institutions with enhanced understanding and proficiency in their operations through comprehensive training, learning solutions, and consulting services. Our team comprises individuals with expertise in banking and financial analytics, all dedicated to meeting the precise needs of our clients. By joining our team, you will be actively engaged in the design and development of models and risk management solutions within the credit risk advisory sector. The ideal candidates for this role are those who are not only highly motivated and dedicated but also possess a strong quantitative aptitude and the ability to solve complex business problems. This position is within a high-visibility, rapidly growing team that offers a highly challenging, innovative, and dynamic work environment. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Job Description Objectives of this role Design and develop efficient computer vision applications for security and surveillance domain. Develop computer vision applications and algorithms for deploying on low power embedded devices. Collaborate with firmware engineers, front-end engineers, QA Engineers and architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications Ensure algorithms generate accurate predictions. Stay up to date with developments in the machine learning industry. Do Data versioning as well as model versioning of the collected data and developed models. Responsibilities Skills and qualifications Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. Familiarity with deploying deep learning models on low power embedded devices. Good knowledge of programming with C and C++ is must. Proven record of working with AI Accelerators, NPU and quantization frameworks like OpenVINO or Neuralmagic. In-depth knowledge of TF or PyTorch. Familiarity of ArmNN, Kendryte NNcase, Maix Sipeed or RKNN toolkits. Good knowledge of version control systems like Git, Azure Repos. Familiarity with data structures, data modeling, and software architecture. Impeccable analytical and problem-solving skills Qualifications Preferred qualifications Proven experience as a machine learning engineer or similar role Bachelor’s degree (or equivalent) in computer science, mathematics, or related field About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels. Website - http://fireblazeaischool.in LinkedIN - https://www.linkedin.com/company/fireblazeaischool/ Youtube - https://www.youtube.com/c/FireblazeAISchool Facebook - https://www.facebook.com/fireblazeaischool/ Instagram - https://www.instagram.com/fireblazeaischool/ Twitter - https://twitter.com/FireblazeAi Google Nagpur - https://g.page/fireblazeaischoolnagpur?share Google Pune - https://g.page/fireblazeaischoolpune?share Spotify Podcast - https://open.spotify.com/show/0VXm4ikfRG29UcwlMnaDNJ Job Description Deliver engaging classroom and/or online training sessions on topics including: Python for Data Science Data Analytics using Excel and SQL Statistics and Probability Machine Learning and Deep Learning Data Visualization using Power BI / Tableau Create and update course materials, projects, assignments, and quizzes. Provide hands-on training and real-world project guidance. Evaluate student performance, provide constructive feedback, and track progress. Stay updated with the latest trends, tools, and technologies in Data Science. Mentor students during capstone projects and industry case studies. Coordinate with the academic and operations team for batch planning and feedback. Assist with the development of new courses and curriculum as needed. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python, SQL, and data handling libraries (Pandas, NumPy, etc.). Hands-on knowledge of machine learning algorithms and frameworks like Scikit-learn, TensorFlow, or Keras. Experience with visualization tools like Power BI, Tableau, or Matplotlib/Seaborn. Strong communication, presentation, and mentoring skills. Prior teaching/training experience is a strong advantage. Certification in Data Science or Machine Learning (preferred but not mandatory). 'Interested students can reach out at vkmanthena.fireblaze@gmail.com' check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#FF6A0E;border-color:#FF6A0E;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

About Company: We are proud to introduce our company and showcase the wide array of solutions we bring to our customers. Since 1997 , Lubi Electronics has been a driving force empowering industries with Next-Generation solutions, helping businesses stay ahead of modern challenges and achieve success. Our Automation systems are designed to enhance productivity, streamline processes, and provide smart solutions that drive operational efficiency. In the renewable energy space, our Advanced Solar technologies are pushing the boundaries of sustainability, enabling a greener future through Customized EPC solutions. Meanwhile, our Reliable Control Panels ensure operational stability, delivering precision and durability for a wide range of applications across industries. Our legacy and National Footprint With 25+ years of experience , we have built a legacy of excellence, continuously adapting to market needs and delivering cutting-edge technologies that optimize production processes. True to our tagline, "Automation for a Connected World," we have partnered with 25 Global Brands - ensuring seamless connectivity and smarter operations. With headquarter in Ahmedabad , we have PAN India presence in 25 states and 4 UTs . Supported by 10 Branch Offices and Service Centers , we offer unparalleled reach and support across the country. Our commitment to Repair and Service Support ensures that we deliver world-class solutions tailored to diverse industries while maintaining global standards. We are dedicated to helping industries grow and thrive in a rapidly evolving world for sustainable future. Discover more about our product line and services by visiting our website www.lubielectronics.com or write to us at lubi@lubielectronics.com . Job Title: Sales Engineer – GCC Region (Electronics & Projects) Location: Ahmedabad Experience Required: 4–6 years (experience in GCC region is required) Key Responsibilities Market Development & Sales Identify and develop new business opportunities in the GCC region (UAE, Saudi Arabia, Qatar, Oman, Bahrain) for electronics hardware, industrial PCs, IoT, SCADA and automation solutions . Build and manage a sales pipeline of distributors, OEMs, system integrators, EPCs , and key end-users. Execute account-based sales strategies focused on industrial, energy, infrastructure, and process automation sectors. Identify a GCC based SI or EPC to act as partner or bid lead. Project Bidding & Tendering Lead the end-to-end bidding process for public and private sector projects, including RFQs, RFPs, BOQs , and compliance submissions. Collaborate with internal engineering, documentation, and finance teams to prepare commercial and technical proposals . Track and bid for government tenders with local SI (e.g., DEWA, ADNOC, ARAMCO, KAHRAMAA). Partner & Channel Management Establish and manage channel partners and local agents in target GCC countries. Support partners with product training , pricing strategy, and pre-sales assistance. Conduct regular territory reviews, identify gaps, and implement corrective actions. Client Relationship Management Build and maintain long-term relationships with project consultants, automation teams, and procurement heads . Deliver technical presentations, live demos , and lead commercial negotiations. Drive repeat orders, after-sales service engagement , and customer satisfaction. Reporting & Forecasting Maintain accurate sales pipeline in CRM with deal stages, probability, and expected close dates. Submit weekly/monthly reports including revenue forecasts , market trends, and competitor tracking. Participate in industry expos and technical conferences in GCC markets. Key Requirements Bachelor’s Degree in Electronics, Electrical, Instrumentation Engineering (MBA is a plus). Minimum 4–6 years of B2B sales experience in electronics and automation products in GCC countries. Proven success in project bidding, and channel development. Deep understanding of GCC trade regulations , logistics, import/export processes, and cultural nuances. Strong command of English; Arabic knowledge is a bonus. Willing to travel frequently across GCC for business development and project closure. Preferred Exposure To: Industrial PCs, edge devices, SCADA systems and industrial networking IoT platforms, remote monitoring, and smart sensor integration PLCs, HMIs, sensors, networking devices BESS or energy management systems (optional but desirable) Government e-tendering portals in GCC

Leads and oversees risk management for the division, ensuring that risk matters are considered and addressed. Ensures the development and implementation of effective divisional controls and oversight. Leads risk initiatives with broad scope, scale and complexity. About Vanguard Founded in 1975, Vanguard is one of the world's leading investment management companies. The firm offers investments, advice, and retirement services to tens of millions of individual investors around the globe—directly, through workplace plans, and through financial intermediaries. Vanguard’s India Office Vanguard’s office in India is a significant milestone in our global expansion. We are committed to establishing an enduring technology center in Hyderabad, Telangana and are excited to be adding talent who will focus on Artificial Intelligence (AI), mobile, and cloud-based technologies that drive our business outcomes and deliver a world-class experience for our clients. Role Summary: The Senior Manager, Divisional Risk leads and oversees risk management for the division, ensuring that risk matters are considered and addressed. Ensures the development and implementation of effective divisional controls and oversight. Leads risk initiatives with broad scope, scale and complexity. Responsibilities also include identifying and evaluating financial, operational, market and regulatory risks; conducting risk analysis and modeling to assess vulnerabilities; and developing procedures to monitor, report and mitigate risk exposures. Responsibilities: Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures. Designs, implements, and leads the divisional risk management program. Provides divisional oversight to the enterprise and partners based on the operational and strategic risk framework. Maintains strong relationships with key stakeholders of aligned division. Responsible for implementing a strong risk culture across division. Partners with key stakeholders to establish and implement risk and control management standards within the division's processes, based on the divisional risk profile and enterprise and divisional policies. Provides vision and leadership regarding existing and emerging risks, in alignment with strategic priorities. Effectively communicates strategies and plans to all appropriate parties. Ensures that the division has an appropriate level of review and key controls, and that key controls are designed and operating effectively in accordance with established standards. Provides consultation and analytical support to key stakeholders as needed, and ensures internal controls are properly implemented without compromising client service. Partners with the division's leadership team to ensure business risk and control decisions are made during the design and development of technology and service or operating model changes. Proactively raises and executes plans to address key issues. Develops, maintains, and evolves a comprehensive program for monitoring and analyzing controls. Establishes metrics, dashboards, and reports that are distributed regularly and can be used to identify potential control opportunities, as well as monitor the effectiveness of the controls in place. Reports to department leadership on controls across the department. Ensures readiness for regulatory inspections and examinations. Addresses gaps both pro-actively and reactively. Evaluates and recommends change, as needed, and in coordination with key business partners. Develops and maintains in-depth knowledge and awareness of the investment industry, risk management practices, and regulatory and/or policy changes. Serves as a subject matter expert on risk management discussions. Takes an active role in industry forums and remains current on issues and regulatory events affecting the division, firm, and industry. Participates in special projects and performs other duties as assigned. Oversees identification and characterization of potential financial, operational, and regulatory risks, including assessment of critical asset vulnerability. Leads development of risk modeling efforts to assess probability, impact, and valuation of potential risk events to support mitigation strategies. Ensures divisional alignment with enterprise insurance strategies, including coverage optimization across property, liability, and executive risk. Drives stakeholder and regulatory risk reporting, ensuring data integrity and responsiveness to evolving requirements. Qualifications: Minimum 12 years of relevant work experience, with at least 8 years focused on risk management, enterprise risk, or internal controls; previous team leadership or managerial experience strongly preferred. Bachelor’s degree in accounting, Finance, Business Administration, Economics, Commerce, Engineering, or related field; master’s degree (CA, MBA, M. Com, M.Sc. Risk Management, etc.) preferred. Deep expertise in risk identification, modeling, internal control frameworks, stakeholder communication, and regulatory risk reporting. Strong leadership, strategic vision, and influence across business and governance teams. Location This role is based in Hyderabad, Telangana at Vanguard’s India office. Only qualified external applicants will be considered. Our mission Vanguard adheres to a simple purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. Our commitment to you Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life. Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life: Financial wellness We're committed to enabling your financial success and provide competitive offers and programs. Physical wellness We're committed to providing benefits that support your physical health and wellness. Personal wellness We're committed to providing resources that help support the full scope of your life. How we work Vanguard has implemented a hybrid working model for most of our employees (crew members), designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

Hyderabad, Telangana, India Job ID 3001915 TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody’s perfect – and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview The Senior DevSecOps Engineer is a highly technical individual with a strong understanding of web application security and software development lifecycle (SDLC). Working closely with other members of the team and reporting directly to the Security Engineering Manager, you will assist in the day-to-day operation of the TriNet's global app sec program. This will include (but is not limited to) developing new ways to detect and mitigate application security vulnerabilities through tooling and hands on testing. This position will also monitor, detect, response and lead any incident response related to application security. As a long-term goal, this position will analyze to discover anti-patterns within Trinet application ecosystem for making long lasting impact to how Trinet builds its software. Locations India (On-site) What you will do Assist in the day-to day operation of the organization's global app sec program. Develop secure software testing and validation procedures by fine tuning custom rules in SAST/DAST tooling Conduct security QA testing on high-risk product features (i.e. pen testing) Perform risk analysis (e.g., threat, vulnerability, and probability of occurrence) in conjunction with an application or system major change. Analysis to discover anti-patterns within the application ecosystem in support of strategic software goals. Provide support to dev teams in developing unit test cases that assures against business logic flaws and missing authorization checks. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science, Information Technology, Cybersecurity or a related field required Experience Qualifications Typically 5+ years experience in a security or similar technical role required Experience with penetration testing, SAST/DAST tuning implementation, etc required Skills and Abilities Skill in penetration testing principles, tools, and techniques. Skill in building custom rules and implementing SAST/DAST tools Skill to apply cybersecurity and privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication, non-repudiation) Knowledge of Application Security Risks (e.g. Open Web Application Security Project Top 10 list) Knowledge of system and application security threats and vulnerabilities (e.g., buffer overflow, mobile code, cross-site scripting, Procedural Language/Structured Query Language (PL/SQL) and injections, race conditions, covert channel, replay, return-oriented attacks and malicious code) Knowledge of Personally Identifiable Information (PII) and Personal Health Information (PHI) data security standards. Knowledge of programming language structures and logic. Knowledge of Agile software development models Skill in secure test plan design (e. g. unit, integration, system, acceptance). Ability to apply cybersecurity and privacy principles to organizational requirements (relevant to confidentiality, integrity, availability, authentication, and non-repudiation) Licenses and Certifications Certified Ethical Hacker (CEH) preferred or Offensive Security Certified Professional (OSCP) preferred or GIAC Web Application Penetration Tester (GWAPT) or equivalent preferred Travel Requirements minimal Work Environment Work in clean, pleasant, and comfortable office setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. Work is 100% In-Office in Hyderabad Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact India.Careers@trinet.com to request such an accommodation.