3840 R Jobs - Page 4

About ZEISS Group ZEISS is an internationally leading technology enterprise operating in the fields o f optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets. Job purpose : The Supply Chain Analyst will be at the forefront of transforming our supply chain operations, leveraging cutting-edge technologies and data-driven insights to drive efficiency, reduce costs, and enhance quality. In this pivotal role, you will harness advanced analytical tools, including artificial intelligence (AI) and machine learning (ML), to uncover trends, forecast demand, and support smarter decision-making. Were looking for a detail-oriented, forward-thinking professional with a deep understanding of supply chain processes and exceptional analytical skills. As a key collaborator, youll work across departments gather insights, solve complex problems, and recommend innovative strategies to optimize supply chain performance. Staying ahead of the latest advancements in supply chain analytics and technology will be essential to your success in this role. If youre passionate about using data to create meaningful impact and thrive in a dynamic, fast-paced environment, this is your opportunity to make a difference and shape the future of supply chain excellence. Main Accountabilities : Data Analysis & Reporting AI-Driven Insights Trend Monitoring Collaboration Process Optimization Skills & Knowledge requirement : Skills : Handling multiple projects & demanding timelines Result oriented mindset with project management skills Ability to identify and implement cutting-edge solutions to complex supply chain challenges. Well versed in implementing Automation, AI-driven solutions in a supply chain environment. Knowledge of emerging technologies like blockchain and IoT in supply chain processes. Technical Skills: Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong knowledge of supply chain management software (e.g., SAP, Oracle). Advanced Excel skills and familiarity with SQL and ETL for data extraction, integration and analysis. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. A proactive mindset with a passion for innovation and continuous learning. Willingness to learn and adapt to rapidly evolving technologies and methodologies. Strong interpersonal skills to work effectively with internal and external stakeholders. Tools & Systems: Advanced MS Excel, Advance Excel Skills & macros. Good knowledge of SAP or any other ERP. Power BI development and administration. VBA Scripting (added advantage). Should be familiar and experienced in SQL. PMP Project Management skills. Hands on experience of analytics tools like QlikView, Tableau, R is a plus. Job Qualification: Education: Batchelor Degree with specialization in Data analytics / Supply chain Experience: 3+ Years in Supply Chain Planning/ Analytics/ Process improvement/ project delivery Certification in supply chain management (e.g., APICS, CSCP) six sigma or data analytics is an added advantage. Show more Show less

Key Responsibilities Domain Responsibilities The role requires strategic thinking and technical expert with a strong background in financial crime detection and prevention, specifically using advanced analytical methodologies. This role require hands-on expertise to design, develop and deploy analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and good familiarity with the compliance regulations in financial sector. Design, Devop and deploy models for anomaly detection, behaviour profiling, network analysis, predictive scoring for TM Solutions and act as a single Point of Contact for assigned AML Transaction Monitoring Modelling related matters Perform data exploration, feature engineering and ensuring models are accurate, efficient and scalable. Support for analytical processes to enhance TM red flag monitoring and Optimising cases for investigation through AI/ML models and analytical processes Improve processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets. Support in design of different scenario models, development and validation including data quality validation, model effectiveness, rules logic for effective risk analytics. The role holder is accountable for ensuring all processes/ models follow Banks governance process including Model Risk Policy Governance and Risk Based Rule review. Knowledge of core banking, payment, CDD, securities and other systems and interplay/linkages between them. Understand business domain aspects relevant to AML Monitoring and Case Management. Able to conceptualize, design, support and align relevant processes and controls to industry best practice, and close out any compliance gaps Mentoring and conducting training programs to bring the new joiners and team up to speed on new business requirements Provide endorsement for changes or remediation activities impacting AML Optimisation models. Also engaging with relevant stakeholders for deploying the changes to production Work on processes such as threshold tuning, reconciliation, segmentation, optimisation etc. associated with the Transaction Monitoring function across products such as CASA, Trade, Credit Cards, Securities and Financial Markets. Work towards the collective objectives and scorecard of the business function published from time to time in the form of job and performance objectives for defined periods People and Talent Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. Promote and embed a culture of openness, trust and risk awareness, where ethical, legal, regulatory and policy compliant conduct is the norm. Stimulate an environment where forward planning, prioritisation, deadline management and streamlined workflows and collaborative, inclusive yet effective and efficient work practices are the norm. Risk Management Apply Group and FCC policies and processes (AML monitoring) to manage risks. Apply risk and data analytic tools/techniques to optimise and tune relevant detection scenarios, and screening and monitoring optimisation solutions. Provide typology review coverage based on relevant segments/products and validate appropriate monitoring coverage which is fit-for-purpose. Liaise with Business / Segment stakeholders to understand the emanating risks and ensuring those are suitably addressed through the Monitoring coverage. Engage Advisory teams on Product Risk Assessment reviews, outlining transaction monitoring coverage against products and rationale for deviations Ensure appropriate and valid agreements are in place for consumption of product and segment data for Transaction Monitoring Make recommendations (and support in implementation where required) to relevant stakeholders on possible risk mitigants to identified risks or areas of concerns from AML Optimisation Models Provide Transaction Monitoring subject matter expertise on outcome of AML Risk Identification and Assessment Methodologies Extend support in the implementation of control improvements, enhancements or simplifications proposed by relevant CFCC Advisory functions Provide guidance in understanding technical and AML detection related aspects of Transaction Monitoring systems pertinent to a country Collaborate with FCC Advisory teams on determining risk tolerances Strong interpersonal skills to collaborate effectively with cross-functional teams. Governance Attend relevant business / segment / product related working group meetings. Ensure tracking and remediation of surveillance and investigations related regulatory findings. Report product and segment related matters impacting monitoring in relevant FCC and Upstream Governance Committees Provide regular progress updates on agreed mitigation actions concerning AML Optimisation Model Issues and enhancements Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Individual contributor to the Product / Segment / Regional teams to achieve the outcomes set out in the Banks Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders Relevant Business teams CIB & WRB Business and segment CFCC Advisory teams Group AML RFO / teams ITO Country/Regional FCC teams Audit / Assurance teams Group Model Validation/ Group Model Risk Team Other Responsibilities Embed Here for good and Groups brand and values in team Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures. Skills And Experience Data Science Compliance Advisory Manage Risk Surveillance (Specifically Monitoring) Statistical Modelling/ Machine Learning/ Data Analysis SQL / HQL / Hive / Hadoop scripting and databases such as Oracle and HaaS R / Python / SAS / STATA / C++ / SCALA Programming Qualifications 10+ years of hands on experience in Transaction Monitoring design and development with atleast 5 years focussed on financial crime threat risk mitigation. Strong background in deploying models within TM or compliance environment with solid understanding of AML/CFT regulations. Post Graduate degree in Management/Statistics/Mathematics OR Graduate degree in Engineering from a reputed institution. Certification from the ACAMS - Association of Certified Anti-Money Laundering Specialists or equivalent. Strong coding skills in Python, R, SQL and familiarity with data engineering practices for model integration. About Standard Chartered We&aposre an international bank, nimble enough to act, big enough for impact. For more than 170 years, we&aposve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you&aposre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can&apost wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you&aposll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Who You&aposll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we&aposll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleaguesat all levelswill invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you&aposll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you wont find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. Youll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firms diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children. Your Impact You will help build and maintain our knowledge assets around banking market sizing and you will serve clients by leveraging our tools to bring insights around the banking landscape. You will maintain and create databases by undertaking fundamental research in central bank documents and commercial bank annual reports around the globe. You will incorporate findings into a standardized data structure and share information with users of a global market-sizing database. You will have a chance to build a deep understanding of the operations of several banking markets around the globe and gain insight into the operations of a global research center in the financial industry. Additionally, you will have a great opportunity to deepen your understanding of the financial sector worldwide, further build your data management and analytical skills and work in a dynamic business environment. You will receive exceptional training as well as frequent coaching and mentoring from more senior colleagues. You will work in our McKinsey Knowledge Center in Gurgaon as part of the Global Banking Pools team (GBP) within Panorama Financial Institutions and Insights consulting team (PFIC). PFIC is one of the largest knowledge team globally and part of the FIG practice, with 230 members and a global footprint across 25+ countries, focusing on financial services domains, e.g., Retail banking, Corporate & Investment Banking, Wealth & Asset Management, Fintech and Insurance. Global Banking Pools team focuses specifically on product-level market-sizing across full spectrum of banking revenues globally and help clients in developing market strategy based on data driven insights. Your Qualifications and Skills Master&aposs degree in economics or finance related field; mathematics, statistics is an added advantage Basic understanding of banking economics and macroeconomics Familiarity with banks' financial reports is a plus Experienced user of Excel; R, Python, other advanced analytics tool or programming knowledge is a plus Strong analytical capability; ability to synthesize complex relationships Outstanding attention to detail and dedication to data accuracy Ability to work efficiently under pressure and keep tight deadlines Professional attitude and service orientation Ability to work independently as well as in a team Entrepreneurial and self-starters who enjoy the challenges and rewards of research work in a dynamic and changing environment Strong written and verbal communication skills in English Show more Show less

About The Opportunity Role:- Product Analyst Level:- Senior Executive/ Assistant Manager Reporting To:- Vice President - Product Management Location:- Gurgaon What Will You Be Doing Create and maintain rich interactive visualizations through data interpretation and analyze integrated reporting components from multiple data source Data mining using state-of-the-art methods Identify, analyze, and interpret trends or patterns in complex data sets Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Develop and execute database queries and conduct analyses Work with management to prioritize business and information needs What Are You Required To Bring To The Team Knowledge of Advanced SQL queries, Python and Advanced Excel is must Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Familiarity with BI technologies Adept at queries, report writing and presenting findings Strong interpersonal skills to effectively drive complex projects within as well as outside the team Knowledge of statistics and experience using statistical packages for analyzing datasets (SPSS, SAS, R, etc) is preferred Qualification & Experience B. Tech from reputed institute with 2 to 5 years of experience in data analytics (SQL & Advanced Excel), analyzing data trends and reporting Key Success Factors for the Role Mindset that will constantly think about Return on Investment, business and revenue Passion for data and an exceptional ability to solve complex problems Strong communication skills, Influencing skills, great interpersonal & stakeholder management skills. High on energy, a go-getter and a team player Required Knowledge Required Skills: Required Abilities Physical: Other: Work Environment Details Specific requirements Travel: Vehicle: Work Permit: Other Details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation: Show more Show less

Job Title: Multi-Disciplinary Design & Simulation Engineer (CAD/CAE/Computation Expert) Location: Gurugram, Haryana Employment Type: Full-Time / Part-Time / Project-Based Company: Stuvalley Technology Pvt. Ltd. About the Role Stuvalley Technology Pvt. Ltd. is seeking highly skilled and software-proficient professionals with strong expertise in design, simulation, analysis, and mathematical modeling. The ideal candidate will have hands-on experience in tools such as CATIA, ANSYS, MATLAB, AutoCAD, ETAP, and others, and should be from a Mechanical, Electrical, Civil, Computer Science, Mathematics, or Physical Sciences background. This is an exciting opportunity for professionals who are passionate about applying their technical skills across academic, industrial, and research-based projects. Key Responsibilities Develop and optimize 2D/3D CAD models using CATIA, NX (Unigraphics), AutoCAD, and related tools Perform Finite Element Analysis (FEA), motion simulation, or thermal/stress analysis using ANSYS, MATLAB Simulink, etc. Conduct power system simulations using ETAP or similar platforms Work on structural, civil, or electrical design using domain-specific tools Prepare engineering calculations, models, and technical documentation Collaborate with multi-disciplinary teams for project-based design solutions Contribute to training, consulting, or R&D work as needed Software & Domain Expertise Mechanical Engineering CATIA, NX, SolidWorks, AutoCAD, ANSYS, Abaqus, MATLAB, Pro/E (Creo), Fusion 360 Electrical Engineering ETAP, AutoCAD Electrical, EPLAN, PSCAD, PSpice, MATLAB Simulink Civil Engineering AutoCAD Civil 3D, Revit, STAAD Pro, SAP2000, ETABS Computer Science/Mathematics MATLAB, Python, R, AnyLogic, Simulink, Mathematica, Maple Physics/Chemistry COMSOL Multiphysics, ChemCAD, Origin, LabVIEW, Ansys Fluent Qualifications Bachelors, Masters, or PhD in a relevant engineering or science discipline Strong command of relevant design and simulation tools Ability to integrate engineering principles into digital workflows Strong analytical, documentation, and communication skills Preferred Experience Exposure to academic research, consulting, or product development Involvement in multi-disciplinary or cross-functional projects Experience mentoring or training others in technical tools A portfolio demonstrating prior simulation/design work is desirable How to Apply Interested candidates may send their updated CV and portfolio (if available) to [HIDDEN TEXT] Please mention Application: CAD/Simulation Expert in the subject line. Show more Show less

Hiring For Leading MNC Job Description Responsible for site resource planning Manage recruitment, onboarding and development plan for the Vaccines India Biostatistical Sciences team Create a productive work environment; ensure team compliance with SOPs and function standards Plan and track project activities, timelines, and resource use Desired Profile 510 years of experience as a Statistician supporting Chemistry, Manufacturing, and Controls activities, applying advanced statistical methodologies to analytical method validation and product development Experience in vaccines Experience in applying statistics for improving the process Statistical and programming software, including SAS, R, Experience in performing complex exploratory statistical analyses Show more Show less

At CoffeeBeans Consulting, we are a dynamic software consulting firm helping clients solve complex problems through innovative technology solutions. Were expanding our Data & AI practice and looking for a Lead Consultant Data & AI to help us build and deliver high-impact data and AI projects for our clients. Role Overview: Were looking for a hands-on technical leader who combines deep expertise in AI/ML (traditional ML and GenAI) with strong skills in modern data engineering and architecture . This role is: Hands-on engineering and architecture, building and implementing solutions. Client-facing consulting, understanding business problems and translating them into technical solutions. Mentoring and guiding junior team members, fostering a high-performance team culture. You will work closely with clients to design, build, and deliver impactful Data & AI solutions while establishing best practices and maintaining a high bar for technical quality. Key Responsibilities: Solution Design & Delivery Architect and implement end-to-end AI/ML solutions , including: Data pipelines and scalable data architectures. Traditional ML models and workflows. GenAI and agentic AI systems, including retrieval-augmented generation (RAG) and LLM-based applications. Ensure delivery of high-quality, scalable, and maintainable solutions aligned with client needs. Establish and advocate best practices for MLOps and data engineering workflows. Consulting & Client Engagement Act as a trusted technical advisor for clients, shaping their Data & AI strategy and roadmaps. Translate business problems into technical solutions with clear articulation of value. Facilitate technical discussions and workshops with stakeholders to gather requirements and guide solutions. Technical Leadership Lead by example, contributing hands-on to critical parts of projects. Set code and architectural standards for AI and data projects. Stay current with industry trends and advancements in AI/ML, GenAI, and data engineering. Team Development Mentor and upskill junior engineers and data scientists within the team. Foster a collaborative, inclusive, and supportive team environment. Support the hiring and onboarding of new team members as we grow our Data & AI capability. Key Requirements: ? Experience: 1012 years in the software/technology industry. Minimum 5+ years of experience designing and building AI/ML solutions in production environments. Strong experience with data engineering and architecture in production systems. Experience working in consulting or client-facing delivery environments . ? Technical Skills: Deep knowledge of traditional ML (classification, regression, NLP, computer vision) and GenAI (LLMs, embeddings, RAG, agentic AI workflows). Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, LangChain/LlamaIndex). Proficiency in Python (and/or R, Scala) for data and AI workloads. Experience with data engineering tools and orchestration frameworks (Spark, Databricks, Kafka, Airflow). Strong familiarity with cloud platforms (AWS, GCP, Azure) for deploying AI and data solutions. Understanding of MLOps practices (CI/CD for ML, monitoring, model retraining pipelines). Experience with data modeling, data lakes, and data pipeline architecture . ? Leadership & Mindset: Ability to lead and mentor technical teams in delivery environments. A consulting mindset with the ability to communicate effectively with technical and non-technical stakeholders. Empathetic leadership style, fostering trust and team growth. Comfortable in fast-paced, dynamic, client-facing environments. Nice to Have: Experience with LLM fine-tuning and optimization. Strong hands-on experience with Databricks for scalable data and AI workloads. Exposure to agentic AI frameworks and advanced orchestration for LLM-powered workflows. Certifications in cloud or AI/ML specializations. Experience in growing Data & AI teams within a consulting environment. Why Join Us Opportunity to shape and expand our Data & AI practice from the ground up. Work with diverse clients to solve meaningful and challenging problems. Be part of a collaborative, people-first culture with a focus on growth and learning. Competitive compensation and career advancement opportunities. Show more Show less

The Senior Risk Analyst, Loss Forecasting will be an organized and motivated team player with a strong sense of ownership. As a key member of the credit risk management team, you will be responsible for creating and tracking appropriate KPIs, developing and maintaining forecasting frameworks and processes, and serve as an active team player in credit reviews. You will develop and maintain forecasting, CECL, and Stress Testing models for fintech products and will be expected to find opportunities to enhance and automate existing processes. Craft dashboards to track KPIs around portfolio performance, including deep diving into credit strategies and their impact on it. Extend analytical support to advance fintech collections strategy and build forecasting frameworks for key collections KPIs. Use analytical techniques to mine loan characteristics/performance data to extract valuable insights for the business. Use data visualization techniques to develop relevant reports for Senior Management. Track industry environment and competitor landscape to support the business. Correlate Macro-Economic conditions with fintech internal loan performance to support recession readiness and long-run planning. Leverage forecasting outputs in the monthly allowance process (CECL) and identify areas where qualitative adjustment is needed. Support planning and budgeting exercises within the company by leveraging forecasting assumptions and outputs. Work closely with key partners to ensure forecast and allowance assumptions are accurate. About You 4+ years of experience in credit, analytics, IFRS9 and CECL, risk management, data science, or information management. Bachelors or masters degree with a quantitative background (e.g. Statistics, Math, Engineering, Economics). Strong technical skills such as SQL, SAS, R, and Python. Experience with BI/data visualization tools (like Tableau or Excel to create dashboards). Excellent written and verbal communication skills, including the ability to communicate project scope in documentation and presentation format. Experience in the Financial / FinTech industry is a plus. Previous experience with loss forecasting and collections analytics, allowance.,

The role involves owning the design and delivery of Data Analytics solutions based on business requirements, contributing from idea-generation to implementation under some supervision. You will work independently on consuming and preparing data for analytical use, translating business problems into data stories. Your responsibilities include delivering work that informs business decisions within your team's scope, leveraging data analysis and visualization skills to answer business questions and create insightful visualizations. You will collaborate with stakeholders and present data insights in a business-friendly manner. Flexibility is crucial in adopting internal Data Analytics approaches and expanding technical competencies. You will grow your craft skills while utilizing Data Analytics to impact well-defined business problems. Supporting junior peers through knowledge sharing and setting a good example is expected. Networking with craft peers beyond the team's scope and understanding Booking's data ecosystem are essential. Collaboration with peers in related crafts and ensuring the quality of your work through peer review are also part of the role. Communication with stakeholders, including business stakeholders, craft team, managers, leadership team, DSnA Community, and other tech crafts, is vital for cooperation, feedback, and providing data outcomes to steer the business. The communication frequency varies from frequent to occasional depending on the type of communication needed. A Master's degree and 2-4 years of basic job knowledge are required. Special knowledge and skills include being results-oriented, open to feedback, detail-oriented with a focus on the bigger picture, analytical, and having strong interpersonal skills. Experience in data analysis, data management, data visualization, and using tools like Tableau, Data Studio, PowerBI, etc., as well as familiarity with data analysis languages like R, SQL, Python, are necessary for this role.,

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

Teesta Investment is a pioneering proprietary trading HFT startup specializing in trading and market-making global digital assets in India. We are known for our exceptional expertise, knowledge, and global reach in various financial instruments and digital currencies. Our firm prides itself on innovative and forward-thinking approaches to digital asset trading, which is reflected in our daily operations. Leveraging our extensive knowledge of market trends and developments, we aim to help markets achieve price efficiencies. As a member of our rapidly expanding research team based out of our Kolkata office, you will play a crucial role in identifying, modeling, and developing successful trading strategies for both centralized and decentralized crypto exchanges. Your analytical skills will be instrumental in capitalizing on trading opportunities, optimizing performance, and managing risks in the dynamic cryptocurrency landscape. Your responsibilities will include: - Conducting thorough research to design trading strategies tailored to cryptocurrency markets. - Collaborating with the development team to implement and fine-tune trading strategies. - Performing rigorous backtesting and maintaining the performance of trading strategies. - Developing analytical tools to enhance strategy analysis and decision-making. - Managing trading risk and ensuring the smooth operation of software and trade processes. - Engaging with OTC teams to execute trades and meet trading requirements. - Monitoring auto trading strategies, addressing discrepancies, and reporting to senior management. - Maintaining open communication with team leads for market updates and technical insights. Our ideal candidate should possess a Master's or PhD in Applied Mathematics, Computer Science, Statistics, or related fields, along with a Bachelor's Degree in financial services or technology-related disciplines. Additionally, you should have 3+ years of experience in quantitative analysis, trading, or market making within financial markets. Proficiency in programming languages like Python, C++, Rust, Go, MATLAB, and R, with a focus on real-time data analysis, is required. Familiarity with Tick by Tick Data (TBT) and market microstructures is preferred, along with advanced mathematical and statistical knowledge applied in trading contexts. Strong proficiency in MS-Excel, exceptional numerical and analytical skills, and the ability to thrive in a competitive, fast-paced environment are essential. You should be detail-oriented, possess excellent communication skills, and demonstrate the ability to handle confidential information with discretion. The role requires working independently, exercising sound judgment, and efficiently solving complex problems. In addition to a challenging and rewarding role, we offer perks such as access to an in-house snack bar, meal reimbursements, gym memberships, sponsorship for higher education, relocation benefits, and health insurance for you and your dependents. We are seeking candidates who are passionate about pushing the boundaries of finance and technology, and are enthusiastic about promoting alternative assets and digital financial systems. Adaptability to a fast-growing environment, with evolving roles and responsibilities, tight deadlines, and a high degree of autonomy, is crucial for success in this position.,

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

EY is seeking a Senior Consultant to join the Financial Services Risk Management (FSRM) competency within Business Consulting in Budapest. The team provides consultancy services to clients in the Financial Services industry in Hungary and abroad. As a new team member, you will work on diverse projects such as financial risk measurement, risk process improvement, risk modeling, derivative valuations, and compliance with banking regulations like Basel, CRR/CRD, IFRS, and more. Your responsibilities will include delivering projects related to financial risk modeling, credit risk, market risk, operational risk, and ESG Risk for large Hungarian and international banks. You will also coordinate junior colleagues, participate in client discussions, and support internal proposition development. The ideal candidate should have exceptional drive, proactive personality, good communication skills, strong analytic abilities, and the ability to work both independently and as part of a team. A university degree in Economics, Finance, Mathematics, or related fields, along with 2 years of experience in risk management, is required. Skills in programming languages, consulting experience, professional certificates, work/study abroad experience, and proficiency in English are appreciated. The role offers diverse advisory work, exposure to various clients, competitive salary, tailored benefits, continuous learning opportunities, transformative leadership guidance, and a diverse and inclusive culture. If you are interested, please apply online for this exciting opportunity.,

As a Junior Data Scientist at GWC DATA.AI in Kolkata, India, you will be part of a dynamic Data Science team, collaborating with senior professionals to work on data analysis, predictive modeling, and business intelligence projects. This role is ideal for recent graduates or individuals with up to 2 years of experience in data analytics or machine learning. Your responsibilities will include collecting, cleaning, and analyzing large datasets, building machine learning models and algorithms, creating data visualizations, collaborating with cross-functional teams, and documenting data science workflows and outcomes. You will also be expected to stay updated on the latest trends and technologies in the field of data science. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R for data analysis, familiarity with SQL, and a solid understanding of statistics, data wrangling, and exploratory data analysis are required. Additionally, having skills in Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI will be beneficial. Strong problem-solving and communication skills, along with a willingness to learn in a fast-paced environment, are essential. This is a full-time position with benefits including paid sick time and Provident Fund. The work schedule is during the day shift, and the role requires in-person work in Kolkata, West Bengal. If you are passionate about data science and looking to grow your career in a collaborative environment, we encourage you to apply before the application deadline on 10/08/2025.,

You are a Data Architect / Data Engineer with expertise in Qlik Sense Cloud, responsible for designing the organization's data infrastructure, building and maintaining data pipelines, and managing ETL processes for seamless data integration. Your role involves integrating business intelligence tools, supporting data visualization and reporting requirements, and ensuring high-quality outputs from the data analyst teams. Your key responsibilities include designing and implementing data architectures, developing scalable data pipelines and ETL workflows, ensuring data security and governance, managing reporting standards, integrating Qlik Sense Cloud, managing data models for business dashboards, collaborating with stakeholders, optimizing data systems, and maintaining documentation of data architectures and best practices. To excel in this role, you should have deep knowledge of database technologies and big data platforms, experience with ETL tools and cloud data platforms, expertise in Qlik Sense Cloud, proficiency in programming languages, strong collaboration and leadership skills, and the ability to troubleshoot ETL issues and optimize data pipeline performance. If you are passionate about data architecture, data modeling, and delivering actionable insights through scalable reporting solutions, this role at Clinisupplies in Indore is the perfect opportunity for you.,

As a Senior/Lead Analyst at Evalueserve, you will be a part of the Risk and Quant Solutions (RQS) department, which is a rapidly growing practice within the organization. Your role will involve independently or collaboratively performing various model validation tasks aimed at addressing the financial needs of some of the world's largest institutions with innovative technology-driven solutions. Your responsibilities will include creating approach notes and testing plans for model validation, developing challenger models for benchmarking, reviewing model implementation, conducting model risk analysis, stress testing, and drafting validation reports with detailed findings and recommendations. You will be expected to leverage your expertise in applied quantitative disciplines, such as Econometrics, Statistics, or Financial Mathematics, to enhance decision-making processes and improve banking challenges. To excel in this role, you should possess a master's or bachelor's degree in a relevant quantitative discipline, a strong foundation in stochastic calculus, statistical and econometric concepts, and proficiency in programming languages like Python, R, or Matlab. Additionally, experience with QuantLib and C++ will be advantageous. Your ability to think creatively, articulate ideas effectively, and communicate complex concepts to diverse audiences will be essential in this dynamic and growth-oriented environment. At Evalueserve, we offer a vibrant and inclusive culture that values work-life balance, diversity, and equal opportunities for all. If you are looking to elevate your impact through innovation and learning, we encourage you to explore further by reaching out to us at careers@evalueserve.com to discover more about our culture and what it's like to work with us.,

Do you have in-depth experience in Nat Cat models and tools Do you enjoy being part of a distributed team of Cat Model specialists with diverse backgrounds, educations, and skills Are you passionate about researching, debugging issues, and developing tools from scratch We are seeking a curious individual to join our NatCat infrastructure development team. As a Cat Model Specialist, you will collaborate with the Cat Perils Cat & Geo Modelling team to maintain models, tools, and applications used in the NatCat costing process. Your responsibilities will include supporting model developers in validating their models, building concepts and tools for exposure reporting, and assisting in model maintenance and validation. You will be part of the Cat & Geo Modelling team based in Zurich and Bangalore, which specializes in natural science, engineering, and statistics. The team is responsible for Swiss Re's global natural catastrophe risk assessment and focuses on advancing innovative probabilistic and proprietary modelling technology for earthquakes, windstorm, and flood hazards. Main Tasks/Activities/Responsibilities: - Conceptualize and build NatCat applications using sophisticated analytical technologies - Collaborate with model developers to implement and test models in the internal framework - Develop and implement concepts to enhance the internal modelling framework - Coordinate with various teams for successful model and tool releases - Provide user support on model and tools related issues - Install and maintain the Oasis setup and contribute to the development of new functionality - Coordinate platform setup and maintenance with 3rd party vendors About You: - Graduate or Post-Graduate degree in mathematics, engineering, computer science, or equivalent quantitative training - Minimum 5 years of experience in the Cat Modelling domain - Reliable, committed, hands-on, with experience in Nat Cat modelling - Previous experience with catastrophe models or exposure reporting tools is a plus - Strong programming skills in MATLAB, MS SQL, Python, Pyspark, R - Experience in consuming WCF/RESTful services - Knowledge of Business Intelligence, reporting, and data analysis solutions - Experience in agile development environment is beneficial - Familiarity with Azure services like Storage, Data Factory, Synapse, and Databricks - Good interpersonal skills, self-driven, and ability to work in a global team - Strong analytical and problem-solving skills About Swiss Re: Swiss Re is a leading provider of reinsurance, insurance, and insurance-based risk transfer solutions. With over 14,000 employees worldwide, we anticipate and manage various risks to make the world more resilient. We cover a wide range of risks from natural catastrophes to cybercrime, offering solutions in both Property & Casualty and Life & Health sectors. If you are an experienced professional returning to the workforce after a career break, we welcome you to apply for positions that match your skills and experience.,

We are looking for a Senior Quantitative Credit Risk Strategist to join our team. In this role, you will collaborate with analysts, risk managers, and leaders to analyze customer characteristics, identify risk factors, and recommend underwriting and collections strategies to meet our risk and return objectives. If you possess an analytical and data-driven mindset, attention to detail, and a proactive attitude, then this position is perfect for you. Your responsibilities will include analyzing data to pinpoint risk drivers and suggest mitigation strategies. You will work closely with the Data Science team to develop and evaluate credit, account management, and collection models. Moreover, you will be tasked with establishing credit strategies and policies to minimize risk while fostering business growth. Your role will also involve enhancing collection performance through operational, policy, and modeling enhancements, as well as defining underwriting and account management strategies. Additionally, you will collaborate with R+D, Product, and Operations teams to test and introduce new features and products. To be successful in this role, you should have at least 6 years of experience in retail, consumer, or SMB finance in a credit risk or strategy capacity, ideally within the fintech or banking sector. You must demonstrate proficiency in crafting credit memos and documenting credit decisions and strategies. Hands-on experience in leveraging data and analytics to steer credit risk strategies is essential, along with a background in A/B testing. A Master's degree or higher in a quantitative field such as Mathematics, Statistics, Economics, OR Business is required. Furthermore, you should possess advanced data analytics skills, including expertise in SQL, Python/R, Excel, and data visualization tools like Tableau or Hex. Familiarity with statistical modeling is also advantageous. The ideal candidate will have the ability to exert influence in a cross-functional, non-hierarchical environment to foster collaborations and propel initiatives forward.,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy, and that hasn't happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target's global team and has more than 4,000 team members supporting the company's global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win. The People Analytics team's mission is to empower a data-driven approach to HR and people decisions regarding our global workforce. We are uniquely positioned to provide unbiased insights to unlock value and drive outcomes and to enable and influence HR and business strategy. The People Analytics team integrates into the business as strategic HR analytics partners and anticipates and uncovers stated or unstated needs. They use analytics expertise to test, measure, analyze, understand, and answer various business questions. The team provides reporting to help inform on the current state of the business and help facilitate processes at scale. They connect understanding across business and HR to deliver data-driven products and solutions, providing meaningful insights and recommendations. About the role: Our Data Analysts are expected to explore data, technologies, and the application of mathematical techniques to enable business insights. Data analysts accomplish this through a wide variety of skills including data wrangling, reporting, dashboarding, visualization, statistical analysis, modeling, and the presentation of recommendations and insight. Analysts work within an agile environment, which requires active participation in ceremonies to accomplish the team's goals. They also develop domain knowledge as they learn about their business area and support applying key data management principles like metadata management, data profiling, and documenting data lineage. Key Responsibilities: - Actively explore data for specific use cases. - Develop expertise in business domain and processes. - Create measurable insights from the data to be shared. - Develop metrics, measurement strategy, reports, and statistics. - Document calculations, code, and adhere to data management principles. - Validate and test data assets of others in the form of peer review. - Explore statistical analysis that could be applied to the data. - Perform descriptive statistics including mean, variance, median, correlation. - Apply insights and testing in partnership with business users. - Be an active participant in team meetings. - Lead agile ceremonies. - Ability to work independently to turn business problems into data solutions. - Serve as a thought leader and mentor on business domain and analytical techniques to elevate team performance. Qualifications: - BA/BS or equivalent experience. - 9+ years" work experience in data analysis or master's level education in business analytics, data science, etc. - Demonstrated leader in knowledge and application of data, reporting, and analytics. - Proficient with various programming languages - SQL, R, Python. - Proficient with relational and non-relational databases. - Strong domain-specific knowledge in Human Resources data and processes. - Prior experience in human resources or talent/people analytics industry. - Strong mathematical and statistical skills. - Excellent communication skills with the ability to speak to both business and technical teams. - Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models, and analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics, and/or equivalent technologies.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

Agoda is an online travel booking platform that offers accommodations, flights, and more to travelers worldwide. The company utilizes cutting-edge technology to connect customers with a vast network of 4.7M hotels and holiday properties, as well as flights, activities, and other travel options. As part of Booking Holdings and based in Asia, Agoda boasts a diverse team of 7,100+ employees from 95+ nationalities across 27 markets, fostering an environment rich in diversity, creativity, and collaboration. The company's culture emphasizes innovation through experimentation and ownership, ultimately enhancing the travel experiences of its customers. The core purpose of Agoda is to bridge the world through travel, believing that travel enables individuals to enjoy, learn, and experience more of the world around them. By bringing people and cultures closer together, travel promotes empathy, understanding, and happiness. The team at Agoda, comprised of skilled, driven, and diverse professionals from around the globe, is united by a shared passion to make a positive impact. Leveraging innovative technologies and strong partnerships, Agoda aims to simplify and enhance travel for everyone. The position available is for a Manager, Analytics & Insights, based in Bangkok, Thailand (relocation provided). The role is within the Analytics team under the Supply department, where new business ideas and partnership types are developed and scaled. Ideal candidates for this position should have a proven track record of leading small analytics functions or creating impactful business verticals from scratch, preferably from a consulting, sales, or business development background with a strong entrepreneurial mindset. The Manager will be responsible for conducting opportunity sizing on new business opportunities, building high-level business cases to justify proposals, collaborating with Product teams to introduce new features, and working directly with external partners to negotiate and finalize deals. Key Responsibilities: - General: Blend of hands-on involvement in business operations and executive-level strategic contributions, leading a team and contributing to overall strategy. - Project Delivery: Manage, standardize, and validate business cases for various aspects including product development, headcount, engineering resources, and strategic roadmap prioritization. - Experimentation: Define success metrics, measure and validate experiments, and cultivate an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome challenges, and drive commercial behaviors across all organizational levels. - Analytics & Alerts: Conduct quantitative analysis, data mining, and presentation of business metrics, identifying key drivers and establishing an effective communication framework based on business value and urgency. - Process Improvement: Collaborate with teams to enhance inter- and intra-departmental efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, internal and external reports, and present key datasets to facilitate efficient monitoring of performance and efforts prioritization. - Leadership: Lead a team of experts to deliver analytical functions, mentor team members, and ensure effective collaboration with chain and connectivity teams. Qualifications: - 5+ years of leadership experience in analytics, data science, insights, or strategy. - 2+ years of experience leading analytics, operational, product, or technical teams. - Proficiency in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, or similar software. - Strong statistical modeling and machine learning knowledge. - Experience in deriving data insights and providing actionable business recommendations. - Excellent communication skills with proficiency in written, verbal, presentation, and interpersonal communication. - Ability to multitask, prioritize, and coordinate resources effectively. - Strong program and project management experience. - Bachelor's degree in a business or quantitative field, with experience in articulating strategic issues and negotiating with C-level executives. - People management skills with a track record of developing team members. - Ability to independently drive projects and engage stakeholders throughout the process. Preferred Qualifications: - Master's degree in statistics, economics, mathematics, or a related discipline. - Experience in conducting A/B testing experimentation. - Background in travel industry, e-commerce, technology, or consulting. Agoda is an Equal Opportunity Employer. Applicants" information will be kept on file for future consideration, and requests for removal can be accommodated upon request. The company does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes. For more information, please refer to Agoda's privacy policy.,

The Lead Analyst position at Lowes Companies, Inc. involves supporting a team dedicated to Margin and Cost Accounting for Lowes US operations. Your primary responsibility will be to work with Leadership in delivering impactful data-driven analytics support to the Business team. You will need to follow analytical best practices, accurately report and analyze results, and identify insights for decision-making purposes. As a Lead Analyst, you will handle various user requests and special projects, requiring a substantial amount of technical knowledge. To streamline processes through automation and enhancements, you will use advanced tools and methods to leverage financial data effectively. Proficiency in tools such as MS Access, MS Excel, VBA, Macros, and Teradata SQL Assistant is essential for this role. Collaboration with different areas of Finance and the Business is necessary to ensure accurate reporting of Inventory, Revenue, and Margin from both an Operational and Financial perspective. The ideal candidate for this role should possess 8+ years of experience in financial analytics/reporting directly working with business teams. A Master's or Bachelor's Degree in Finance, Accounting, Analytics, or Business is required. You should have financial/business acumen, good understanding of Accounting, Finance, and Costing, self-motivation, strong leadership skills, and excellent verbal/written communication abilities. Required skill sets include expertise in SQL databases, ability to write queries/procedures, advanced Excel experience, knowledge of business intelligence and reporting tools (preferably in Power BI), experience working with multiple stakeholders, and exposure to ETL tools is an added advantage. Primary Skills: - Knowledge of Report Development Tools and Software - Analytical Thinking - Business Acumen - Financial Analysis - Hypothesis Testing Secondary Skills: - Being Organizationally Savvy - Communicating Effectively - Demonstrating Personal Flexibility - Getting Organized - Keeping on Point - Understanding the Business In this role, you will practice self-leadership, embrace constant learning, and strive to be a quick learner and passionate problem solver. You will work under the guidance of a Sr. Analyst and/or Lead Analyst to deliver impactful data-driven analytics insights/recommendations. Effective communication of observations and insights is crucial to prepare analyses leveraging multiple data sources.,

The Model Risk Management (MRM) team at FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., is dedicated to providing oversight for the MRM Framework, ensuring that models align with business objectives and design objectives. As the Principal Advisor - Model Risk Management (MRM), you will be responsible for conducting independent model validations to verify that models are performing as expected and to identify potential limitations that could impact their effectiveness. In this role, you will play a crucial part in ensuring that models are appropriately designed, implemented, and managed, in line with regulatory standards and best practices. Based out of the First Citizens India (FCI) office in Bangalore, you will report to the Associate Director of Model Risk Management, India, and collaborate closely with the global MRM team. Your primary responsibilities will include conducting comprehensive model validations, analyzing model inputs, evaluating model frameworks, reviewing model code, analyzing outcomes, identifying and mitigating risks, documenting findings, and supporting audit and regulatory reviews. You will also be expected to stay updated on emerging trends and contribute to the enhancement of the model validation framework. To excel in this role, you should have a strong understanding of regulatory requirements, experience with statistical tools like Python and R, proficiency in SQL for data extraction, excellent problem-solving skills, attention to detail, and the ability to lead projects independently. Strong written and verbal communication skills, strategic planning skills, stakeholder management skills, and the ability to collaborate effectively with team members are essential for success in this position. The ideal candidate will hold a relevant Bachelor's or Master's degree with a specialization in Statistics, Mathematics, Economics, or another quantitative discipline. Additionally, you should have at least 7 years of experience in model development, model validation, or model implementation within the financial industry, with proficiency in statistical methods and programming languages. Experience in model development or validation for Treasury models, PPNR models, Balance sheet forecasting models, ALM models, Valuation models, Counterparty credit risk models, or knowledge of statistical and machine learning models would be advantageous. If you are passionate about model risk management, possess the required skills and experience, and are looking to be part of a dynamic and collaborative team focused on delivering value and managing risks, we encourage you to apply for this exciting opportunity at First Citizens India.,

As a Sr. Software Engineer at Innefu Lab Pvt. Ltd., a Series A funded company specializing in Information Security & Data Analytics using cutting edge technologies like AI for predictive intelligence and Facial Biometrics, you will play a crucial role in our mission to deliver top-notch solutions to our 100+ clients in India. We are seeking a skilled QGIS Developer with over 4 years of experience to join our team. Your primary responsibility will be to leverage your strong expertise in QGIS software, plugins, tools, and libraries to enhance our geospatial data management, analysis, and visualization capabilities. Key Technical Requirements: - Proficiency in GIS software, particularly QGIS, and its various plugins. - In-depth knowledge of data management, analysis, and visualization techniques within QGIS. - Familiarity with scripting languages like Python, R, and SQL. - Experience working with database management systems such as PostgreSQL and MySQL. - Ability to create and manage geospatial databases, design data models, and implement robust solutions. - Understanding of geospatial data formats like shapefiles, geodatabases, and GeoJSON. - Strong grasp of cartographic principles to develop high-quality maps and visualizations. - Skilled in troubleshooting technical issues related to QGIS and related tools. - Exposure to web mapping technologies like OpenLayers, Leaflet, and Mapbox. - Excellent communication skills to convey technical concepts effectively to non-technical stakeholders. - Proficient in problem-solving and developing innovative solutions to complex technical challenges. - Experience with version control systems like Git and SVN. - Attention to detail to ensure data accuracy and completeness. Preferred Qualifications: - Knowledge of spatial analysis techniques such as network analysis, spatial interpolation, and geostatistics. - Certification in relevant areas like QGIS Certified Associate or Professional. - Hands-on experience with QGIS tools and GIS software like ArcGIS, GRASS, and PostGIS. - Familiarity with web mapping technologies, databases (PostgreSQL, MySQL, SQLite), and operating systems (Windows, Linux). Your role will also involve collaborating with cross-functional teams, managing projects independently or as part of a team, and showcasing your problem-solving abilities under tight deadlines. A background in Agile or Scrum methodologies is advantageous for this position. Additionally, we encourage you to present examples of your GIS and QGIS projects along with code samples in your portfolio to demonstrate your technical prowess and experience. If you are a dedicated QGIS Developer with a passion for geospatial technology and a desire to contribute to innovative solutions in the field of Information Security and Data Analytics, we welcome your application to join our dynamic team at Innefu Lab Pvt. Ltd. (Note: This job description is referenced from hirist.tech),

As an accomplished VP/Director of Data Scientist with over 15 years of experience, you will play a crucial role in leading our Data Science team. Your responsibilities will include providing strategic leadership in developing and executing the organization's data science strategy, overseeing the design and deployment of sophisticated predictive models, ensuring data governance and compliance, identifying and implementing emerging technologies, collaborating with cross-functional teams, and serving as a thought leader in the field of data science. Your key responsibilities will involve driving innovation and excellence in all data-driven initiatives, developing and deploying advanced models using cutting-edge statistical and machine learning techniques, implementing robust data governance frameworks, identifying and implementing emerging technologies, leading cross-functional teams, representing the organization at industry conferences, building and leading a high-performing team, preparing comprehensive reports and presentations, and continuously seeking opportunities to enhance analytical capabilities. To qualify for this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field, with a Master's or PhD degree being highly preferred. You should have over 15 years of hands-on experience in data science, particularly in the banking or financial services industry. Proficiency in programming languages like Python, R, or SQL, experience with data visualization tools such as Tableau or Power BI, expertise in machine learning frameworks like scikit-learn or TensorFlow, and strong analytical and problem-solving skills are essential requirements. Preferred qualifications include a comprehensive understanding of banking processes, products, and regulatory requirements, relevant certifications in data science or analytics, extensive experience in project management, and strong leadership skills with a strategic mindset and attention to detail. If you are a visionary leader with a passion for data science and a proven track record of strategic leadership in the banking sector, we invite you to join our team and drive innovation, excellence, and continuous improvement in our data analytics capabilities.,