1151 Probability Jobs - Page 9

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.

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. Job Description: 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 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. Master’s 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. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills Data Science, Machine Learning. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Skill required: Control Testing - Agile testing Designation: Regulatory Compliance Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Help clients transform their compliance function from reactive to proactive through an intelligent compliance operating model – powered by data, intelligent technologies and talent Looking for someone with SOX testing experience. Conduct testing tasks within Agile models and integration processes and manage development sprints. What are we looking for? "Responsibilities: Test of design and effectiveness for controls in scope - Reporting the effectiveness and adequacy of the risk management systems and processes based on established procedures - Reporting on material control issues that have been identified and the action(s) taken to resolve them - Reporting Key risks that could prevent fulfilment of contract obligations - Establishing and maintaining a risk register detailing risk by categories, grading of risk, probability of occurrence and effective mitigation strategies - Aligning and documenting mitigation measures to ensure risk is resolved and brough to an acceptable rating - Establishing a record of incidences and events as part of the Risk register. Ascertain and document key learnings and corrective action alongside." "Responsibilities: Test of design and effectiveness for controls in scope - Reporting the effectiveness and adequacy of the risk management systems and processes based on established procedures - Reporting on material control issues that have been identified and the action(s) taken to resolve them - Reporting Key risks that could prevent fulfilment of contract obligations - Establishing and maintaining a risk register detailing risk by categories, grading of risk, probability of occurrence and effective mitigation strategies - Aligning and documenting mitigation measures to ensure risk is resolved and brough to an acceptable rating - Establishing a record of incidences and events as part of the Risk register. Ascertain and document key learnings and corrective action alongside." Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts, Any Graduation

Business Information Hitachi Energy is a pioneering technology leader that is helping to increase access to affordable, reliable, sustainable, and modern energy for all. We help to power your home, keep the factories running, and our hospitals and schools open. Come as you are and prepare to get better as you learn from others. Bring your passion, bring your energy, and plug into a team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.Visit us - www.hitachienergy.com Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units—Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries. Mission Statement Tendering authority for all tenders with medium to high complexity. Create and complete bids/estimations/quotations based on end customer specification or customer requirements/budget in liaising with the Operating Unit’s Tendering team, having close collaboration with all the tendering stakeholders and take full tender responsibility. Coordinate with all the tendering stakeholders, OU Tendering team, Engineering Leads, Project managers, SCM, end customers, consultants, Contracts & legal team, HSE & Quality, etc. and provide required support in each Tender. Able to approach the e-mobility offerings from both Product Perspective & Systems’ Perspectives. Your Responsibilities Taking the complete responsibility for the tenders prepared from IN Operation Center with appropriate inputs from the different stakeholders of the team in-line with LOM Tendering process seeking necessary inputs from the Operating Units tendering team. Understanding of Sales process, Sales tools & techniques, Market & Business Intelligence, Sales drive. Supporting sales strategy & facilitating capture team selling Knowledge in assessing the pre-qualification requirements and supporting the Sales team for Bid/No Bid decision Create and review Tender Solution Strategy. Target Pricing in discussion with Operating units Complete Understanding of Single line diagrams & Equipment arrangement layouts. Reviewing the proposals towards optimized and customized solutions for various substation tenders (AIS, GIS, Hybrid). Innovative ideas to prepare a cost-effective solution. Technical data sheets verification of primary equipment. Knowledge of primary equipment, such as circuit breakers, disconnectors, earthing switches, instrument transformers, power transformers, etc with minimal support from Engineering team Collaborate with SCM having good understanding about strategic sourcing and do Vendor Offer evaluations. Finalize the tender sourcing plan appropriately. Analyze the risk probability & severity of the tenders from technical, commercial, contractual perspectives & drive the mitigation strategy liaising with the different disciplines. Should be handling the risk review process and getting the approval from different management levels based on the tender volume & the risks involved Review Cash flow documents and the inputs from Contracts & legal teams and take conclusive decisions during submissions Directly responsible for the complete documentation for respective tenders as per the client requirement Handing over the awarded projects to the respective project managers. Lead and coordinate cross-functional teams, including sales, engineering, project management, finance, and legal, to gather necessary information for bids. Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background A Bachelor's degree in Electrical Engineering. Candidate should have 8 to 10 years of experience in substation tendering and project engineering activities (technical & commercial). Knowledge of substations, power quality solutions, and offshore wind. Should have knowledge of Hitachi Energy Products & System offerings. Must have experience and skill to prepare and support Bid Process. Individual contributor using in-depth knowledge in a specific area to execute complex or specialized tenders/ challenges often thinking independently to challenge traditional solutions. Comprehensive knowledge of related disciplines in the organization. Works independently, applying established standards. Excellent English speaker, good communication skills Dynamic and Proactive, willing to grow in the organization. High level of ownership Team player, ready to play the role across the different countries. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Attention to detail and a commitment to delivering high-quality digital solutions. Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.

Summary Position Summary GENERATIVEAI–DATASCIENTIST(MachineLearning Scientist) DoyouwanttomakeanimpactwithgenerativeAI,funandchallengesincluded?JointheTaxand Legal Digit@lAsset Factory ! ThevisionoftheDigit@lAssetFactory istoenabletheTax& Legalpracticetobecomethe undisputed digital leader in Belgium, regionally and globally. Theteamsupportsthisvisionby leveraging(GENAI&cloud)technology to createinnovativesolutions that differentiate us from competition through increased efficiency and an end-to-end globally consistent digital experience . Your Profile DegreeinComputerScience,DataScience,MachineLearning,orrelated field. Excellentanalyticalskillsandtheabilitytowork independently. Strongcommunicationskillsforconveyingcomplexdata insights. PassionforthewholeGENAIanddata scientist concepts. Resultdriven,abletoworkagainst deadlines. Capableofworkinginadynamicproject environment. Abletoworkindependentlyaswellasin team. Willingtolearnandapplynew technologiesandbest practices. Fluentin English. Technology Skills DeepLearningandGenerativeModels:Proficiencyinmodeltraining,hyperparametertuning,and deployment strategies. Experiencewithdeeplearningframeworks(e.g.,TensorFlow,PyTorch)andunderstandingof generative models (e.g., GPT, GANs, VAEs). Datastructures,datamodelingandsoftware architecture Appliedknowledgeofmath:probability,statistics,linearalgebra,matrixalgebra,statistics, probability and high-school calculus Programming:Strongskillsin Python. DataAnalytics:ExperiencewithplatformslikeDatabricksforcollaborativedata science. Collaboration:AbilitytoworkcloselywithDevOpsformodeldeploymentwithoutneedingdeep expertise in container technologies. Makean impact BecomeoneofthepioneersinourglobalDeloitteTax&LegalgenerativeAI strategy. Discovernewtechnologies ,codingpracticesandbeattheforefrontofthelatestdigital trends. Buildstate-of-the-artsolutionsforour clients. TrulyunderstandhowtoapplyAgile Scrum. Haveagreatcoach andenjoymanylearning opportunities. Bepartofamulti-cultural,globallyconnected team. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 306326

Summary As a Data Scientist you will build and deploy data-driven solutions to support business goals. You will use your skills in data analytics, machine learning (supervised and unsupervised) and GenAI, to translate complex data into actionable insights. As a data scientist you will work closely with cross-functional team of data engineers, product owners, Devops and bridge the gap between technical implementation and business needs. Responsibilities (Other duties may be assigned.) Experiment and feature engineer with data to design and build machine/deep learning models with appropriate precision, recall, F1 scores to meet the use case need Prompt engineer to develop new and enhance existing Gen-AI applications. (Chatbots, RAG). Develop and implement advanced AI agents capable of performing autonomous tasks, decision-making, and executing requirement-specific workflows. Document and create experiment reports on the implementation and code in a way that is clear and accessible to both technical and non-technical team members. Perform advanced data analysis, manipulation, and cleansing to extract actionable insights from structured and unstructured data. Create scalable and efficient recommendation systems that enhance user personalization and engagement. Effectively communicate technical solutions and findings to both technical and non-technical stakeholders. Design and deploy AI-driven chatbots and virtual assistants, focusing on natural language understanding and contextual relevance. Implement and optimize supervised and unsupervised learning models for NLP tasks, including text classification, sentiment analysis, and language generation. Explore, understand, and develop state-of-the-art technologies for AI agents, integrating them with broader enterprise systems. Collaborate with cross-functional teams to gather business requirements and deliver AI-driven solutions tailored to specific use cases. Automate workflows using advanced AI tools and frameworks to increase efficiency and reduce manual interventions. Stay informed about cutting-edge advancements in AI, machine learning, NLP, and Gen AI applications, and assess their relevance to the organization. Education and/or experience: At least 5 years of experience working with data sciences. Preferably with a bachelors (OR Master) degree in Computer Science, Data Science, or Artificial Intelligence. Knowledge Skills and Abilities: Strong understanding of mathematics including vector algebra and probability theory for understanding and explaining machine learning (discriminative and generative) models. Strong expertise in data analytics, pattern recognition, machine learning, including predictive modeling and recommendation systems. Excellent communication & documentation skills to articulate complex ideas to diverse audiences. Hands-on experience with large datasets and using distributed systems for analytics and modelling. Advanced understanding of natural language processing (NLP) techniques and tools, including transformers like BERT, GPT, or similar models including open-source LLMs. Strong knowledge of cloud platforms (AWS) for deploying and scaling AI models. Proficiency with code versioning platforms like CodeCommit and GitHub. Technical Skills: Python proficiency and hands-on experience with libraries like (Pandas, Dask, Numpy, Matplotlib, NLTK, Sklearn, Pytorch and Tensorflow). Experience in prompt engineering for AI models to enhance functionality and adaptability. Familiarity with AI agent frameworks like LangChain, OpenAI APIs, or other agent-building tools. Advanced skills in Relational databases [Postgres], Vector Database, querying, analytics, semantic search, and data manipulation. Strong problem-solving and critical-thinking skills, with the ability to handle complex technical challenges. Hands-on experience working with API frameworks like Flask, FastAPI, etc. Proficiency with code versioning platforms like CodeCommit and GitHub. Preferred: Hands-on experience building and deploying conversational AI, chatbots, and virtual assistants. Familiarity with MLOps pipelines and CI/CD for AI/ML workflows. Experience with reinforcement learning or multi-agent systems. Language Skills Ability to speak the English language proficiently, both verbally and in writing. Work Environment 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 individuals with disabilities to perform the essential functions. Employee works primarily in a home office environment. The home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. Compliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems. Travel and fieldwork, including international travel may be required. Therefore, employee must possess, or be able to acquire a valid passport. Must be legally eligible to work in the country in which you are hired. FINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description: About the Role As a Senior Business Analyst, you will work on improving the reporting tools, methods, and processes of the team you are assigned to. You will also create and deliver weekly, monthly, and quarterly metrics critical for tracking and managing the business. You will manage numerous requests concurrently and strategically, prioritizing them when necessary. You will actively engage with internal partners throughout the organization to meet and exceed customer service levels and transport-related KPIs. You will brainstorm simple, scalable solutions to difficult problems, and seamlessly manage projects under your purview. You will maintain excellent relationships with our users – and in fact, advocate for them – while keeping in mind the business goals of your team. What you will do Create various algorithms for optimizing demand and supply data Conduct analysis and solution-building based on insights captured from data Give insights to management and help in strategic planning Analyze metrics, key indicators and other available data sources to discover root causes of process defects Support business development and help to create efficient designs and solution processes Determine efficient utilization of resources Research and implement cost reduction opportunities Must have skills B.Tech/M.Tech /MBA in any discipline 2+ years of experience as a Business Analyst Proficiency in Advanced Excel and Advanced SQL (must-have) and Python(must have) Understanding of basic statistics and probability concepts Proven problem-solving skills

Overview TekWissen Group is a workforce management provider throughout India and many other countries in the world. Job Title: Capture Manager/ Capture Specialist Location: Anywhere in India/Remote Experience: 5+ years Shift : US Shift - 6:30 PM to 3:30 AM Job Description: Job Responsibilities for Capture Manager: SLED Market Segment (USA) Opportunity Identification & Pipeline Development Proactively identify and track RFP/RFI opportunities in the State, Local, and Education (SLED) sectors using tools like FedBizOpps, state/provincial portals, and industry databases. Monitor legislative changes, budget cycles, and emerging priorities (e.g., infrastructure, education tech) to anticipate future opportunities. Engage with industry associations, attend SLED-focused events, and network with decision-makers to gather early intelligence. Opportunity Qualification & Go/No-Go Decisions Assess opportunities based on alignment with company capabilities, win probability, and ROI. Lead cross-functional go/no-go evaluations, incorporating input from technical, legal, and financial teams. Develop competitive assessments to identify strengths, weaknesses, and differentiation strategies. Capture Strategy Development Create tailored capture plans outlining positioning, messaging, and engagement tactics for each opportunity. Collaborate with stakeholders to align solutions with client pain points and evaluation criteria. Shape pre-solicitation requirements by influencing agency needs through early engagement. Client Relationship Building Establish and nurture relationships with SLED decision-makers (e.g., CIOs, procurement officers) and influencers. Conduct discovery sessions to understand client priorities and tailor solutions accordingly. Partner with system integrators, resellers, and grant-funded organizations to expand reach. Proposal Development Leadership Guide proposal teams to ensure alignment with capture strategies and compliance with SLED-specific requirements (e.g., Buy American Act). Oversee content development, emphasizing past performance, technical expertise, and cost-effectiveness. Coordinate with legal, finance, and technical teams to address contractual and compliance needs. Key SLED-Specific Requirements Deep understanding of SLED funding mechanisms (e.g., E-rate, ARPA). Familiarity with state/local procurement processes and compliance frameworks. Ability to articulate solutions aligned with SLED mission objectives (e.g., education equity, public safety) TekWissen® Group is an equal opportunity employer supporting workforce diversity.

JD for Investigations Manager, Claims Manager, Investigation - Claims based out of Corporate Office, Mumbai Job Brief Manager to oversee investigations for claims (Legal-TP Claims/ WC claims/ OD claims, PA Claims, Theft Claims & Health Claims, Commercial claims) of our GI business. The successful candidate will effectively ensure investigation conformity and minimize probability of exposure Academic Qualification Must be a graduate from a recognized institution or university. Law Graduate (LLB or LLM) + III pass out will be the first choice Required Experience / Key responsibilities Candidate must be experienced with 5 to 7 yrs in General Insurance Industry - specially in claims investigation field Experience in handling team (minimum 02 member) with minimum exposure of Zonal portfolio Exposure in dealing with MACT / Third Party Claims & WC matters, PA claims, Health claims, OD claims & Theft Claims investigation Candidate must have good drafting skills as well as communication skills Candidate must have well experience in recovery procedure (Pay & Recovery Legal Claims & Theft vehicle recovery) Experience in handling for & against litigations before various courts arising out of claims (civil, criminal etc..) Candidate should have well conversant about latest laws pertaining to Insurance Laws, Criminal law & Indian Evidence Act Experience in handling Advocates & Investigators : (1) Vetting of relevant applications whenever requires in best interest of the company (2) review of investigation report to conclude/ quantify cases into respective categories (settleable/contest/defense) Must be conversant with MS office for day-to-day activities & maintaining required MIS to extract important/effective details Experience in adducing evidence to defend the matters rigorously & to safeguard company's interest whenever required Experience in handling Criminal proceedings before Police authority or action required before RTO authority or subsequent authority whenever required

AB Housing Finance Limited Lead - Credit Policy and Process Location: BGFCL,OneIndiaBulls Cen,Mumbai, Maharashtra Key Result Areas (Max 1325 Characters) Supporting Actions (Max 1325 Characters) ECL Provision computation System application Management IRAC Provision computation Template worksheet computation Regulatory Reporting Monthly reporting to regulator Bureau Reporting Monthly reporting to Bureau ICAAP Testing Annual Assessment Audit Actionable Manage the conduct of audit and Provide maintain data trails Job Purpose - 1.To calculate the Credit Cost via Expected Credit Cost Model(ECL) as per IND AS requirements along with comparison with IRAC regulatory Norms. 2.To monitor and maintain the ECL model along with computation of input parameters like Probability of Default ( PD) , Loss given default (LGD) at quarterly intervals. 3.Back testing of the ECL Model for efficiency and Forecasting of Credit Cost. 4.Internal Capital Adequacy Assessment Process (ICAAP) Annual review and Forecasting. 5.Monthly Regulatory Reporting to NHB of organisation data along with record maintenance and to provide clarification in case of any Observations. 6. Risk model building along with analytics and testing and validation of such models. 7. Policy formulation based on risk models and monitoring the portfolio behaviour and changes in model for improvements in model efficacy 8.Analyse Mortgage Portfolio trends, patterns and Segment Risks. 9.Preparation of Various Risk Relevant MIS and Presentation for Policy formulation and decision making. 10. Process improvements & Automation along with for Data sanity for reporting’s to internal and external stakeholders. Minimum Experience Level 6 - 8 years Job Qualifications Graduate Diploma

As a Data Scientist at our Mohali location, you will be responsible for designing, developing, and evaluating both supervised and unsupervised machine learning models. Your role will involve collaborating with data and product teams to create end-to-end ML solutions and analyzing large datasets using Python and SQL to extract valuable insights. You will continuously enhance model performance using real-world data and maintain detailed documentation of models, experiments, and processes. To excel in this role, you should possess a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Strong proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy) and SQL is essential. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs is a plus. Preferred qualifications include familiarity with vector databases, embeddings, and fine-tuning or prompt engineering for LLMs, as well as experience with cloud services (AWS, GCP, or Azure). This is a full-time, permanent position with benefits including paid sick time and Provident Fund. The work schedule involves day and morning shifts, and proficiency in English is necessary. The job location requires in-person work in Chandigarh, Chandigarh, and candidates with 3 years of experience in Data Science are preferred. If you are ready to contribute your expertise to building and optimizing machine learning models for real-world applications, while working with a collaborative team, we encourage you to apply for this exciting opportunity.,