604 Risk Analytics Jobs - Page 2

Job Description: A successful candidate would work as an EXL consultant with a leading US Financial Services Organization on an unsecured lending portfolio. The job will require the consultant to work on: . Support tactical & strategic risk analytics initiatives for US based banks Risk team . Develop risk policy for Point of Sale (POS) lending, Buy-now-pay-later (BNPL), and Credit Card solutions . Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs . Policy analytics to make sure correct customer segments are targeted and acquired . Recommend changes to business strategy and risk management policies . Build reporting/BI frameworks for Risk teams within the organization . Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance . Clearly communicate analysis as presentations to technical & non-technical groups . Develop and maintain effective working relationships with colleagues in other areas of Risk Management. . Summarize analytical findings into presentations and share analysis & reports with senior leadership. . Maintain a high degree of technical and policy understanding with respect to credit risk. . Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met. . Train, coach and develop team members Qualifications: . 5-15 years of experience in Analytics and Decision Science. . Risk Analytics experience: Portfolio analytics, Acquisition and Line Management, Policy audit and analytics, Reporting/Dash-boarding, Performance tracking (should have a knowledge of risk concepts like delinquencies, pre-payments, loss curves etc.) . Past experience in problem solving roles, strategic initiatives etc. . Knowledge in Banking Domain . Hands on work experience in SQL. . Hands on work experience in Python AND SAS macros would be a plus

Wealth Management (WM) Investment Risk & Analytics (IR&A) is responsible for the risk oversight of the Managed Strategies from end to end across the WM s Private Bank and Consumer Bank businesses. Managed Strategies included JPMorgan s own proprietary products and third-party funds to include registered funds, exchange traded notes (ETNs), exchange traded funds (ETFs), separately managed accounts, hedge funds, and private equity and real estate funds, etc. We are looking for individuals who can partner with senior members of our team to oversee business activities, models and methodologies related to investment risk. with an emphasis on developing new tools and methodologies that will aid in risk quantification. Job responsibilities Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across various business units. Collaborate with teams to design and oversee the end-to-end lifecycle of AI/ML initiatives from problem scoping, data engineering, model development, validation, deployment, to monitoring. Lead the model development process, including tasks such as data wrangling/analysis, model training, testing, and selection. Conduct risk modeling, scenario analysis, and business impact evaluations to ensure AI/ML solutions are robust, ethical, and aligned with organizational goals. Drive experimentation with advanced techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to solve complex business challenges and create value. Collaborate with Technology on model testing, implementation, and production. Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders. Stay abreast of emerging trends and research in AI and machine learning, and assess their potential application within the organization. Represent risk analytics in governance forums, risk committees, and audit discussions. Participate in regulatory and validation exams by providing documentation and responses to regulators and internal validators. Partner with non-credit risk groups to identify and understand the simultaneous impact of multiple risks, such as product, fiduciary, counterparty, concentration, ESG/climate, liquidity, and their effect on investments. Required qualifications, capabilities, and skills 3+ years of hands-on experience in data science, machine learning, or AI. Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred. Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models. Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra. Have experience with investment products including fixed income, equity, and mutual funds. Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.). Experience with data visualization tools such as Tableau, Power BI, or similar. Logical thought process, ability to scope out an open-ended problem into data driven solution. Strong quantitative and analytical skills and ability to work with diverse cultures in a global team.

About this role: Wells Fargo is seeking a Senior Risk Analytics consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: A credit risk management analyst with at least 5 years of BI/BA responsibility within commercial/consumer lending Advanced degree in Statistics/Finance/Engineering/other quantitative disciplines Understanding of bank regulatory data sets and other industry data sources Proficiency in Advanced SAS,SAS macros and SQL; Python Tableau or BI/automation tools Havinggoodworking knowledge in Unix environment and knowledge of handling data in Teradata/SQL Demonstrated excellence at developing sound credit processes and enhancing existing processes Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. 3 years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. 3 years of Risk experience. 3 years of experience in Data Quality/ Data Defects/Data Governance 3 years of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders.

About this role: Wells Fargo is seeking a Risk Analytics Consultant In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Understanding of risk management practices, extensive knowledge of financial data Demonstrated proficient SQL experience. Demonstrated experience leading projects. Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Strong communication, interpersonal and leadership abilities. Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. Relevant of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. Relevant of experience years of Risk experience. Relevant of experience in Data Quality/Data Defects/Data Governance Relevant of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders.

In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Understanding of risk management practices, extensive knowledge of financial data Demonstrated proficient SQL experience. Demonstrated experience leading projects. Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Strong communication, interpersonal and leadership abilities. Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. Relevant years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. Relevant years of Risk experience. Relevant years of experience in Data Quality/Data Defects/Data Governance Relevant years of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders.

In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 5+ years of experience SQL, Teradata, and or Hadoop experience. 5+ years of experience with BI tools such as Tableau or Power BI applications. 3+ years of experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience researching and resolving data problems and working with technology teams on remediation of data issues. Demonstrated strong analytical skills with high attention to detail and accuracy. Excellent verbal, written, and listening communication skills. Job Expectations: Manage and maintain data and relationships with partners for one or more systems of records. Participate in monthly data load and reconciliation activities to ensure accuracy, integrity, and completeness for downstream consumption and usage Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation and monitoring for Risk Analytics. Design and build rich data visualizations to communicate complex ideas and automate reporting and controls. Create and interpret Business Intelligence data (Reporting, Basic Analytics, Predictive Analytics and Prescriptive Analytics) combined with business knowledge to draw supportable conclusions about current and future risk levels. Becomes a SME in the Reporting, Data Quality check elements, technology infrastructure utilized, and fully understands the metadata and lineage from DQ report to source data. To demonstrate the ability to identify and implement areas of opportunities for quality assurance, data validation, analytics and data aggregation to improve overall reporting efficiencies. Creating and executing the UAT test cases, logging the defects and managing the defects till closure. Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead analytics and reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals. Lead projects, teams, and mentor.

About this role: Wells Fargo is seeking a Lead Risk Analytics Consultant In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Understanding of risk management practices, extensive knowledge of financial data Demonstrated proficient SQL experience. Demonstrated experience leading projects. Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Strong communication, interpersonal and leadership abilities. Job Expectation : Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. Relevant years of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. Relevant years of Risk experience. Relevant years of experience in Data Quality/Data Defects/Data Governance Relevant years of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders.

About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant. In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies, procedures, regulatory requests, and compliance requirements Collaborate and consult with peers, experienced managers, compliance, and technology to resolve modeling, forecasting, and production issues, and achieve analytic and reporting goals Lead projects, teams, and mentor less experienced staff Partner with cross enterprise risk analysts in development of common modeling strategies Required Qualifications: 4+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

About this role: Wells Fargo is seeking a Risk Analytics Consultant In this role, you will: Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Knowledge and understanding of Commercial/Consumer Lending practices, policies, and procedures. Knowledge and understanding of the key factors impacting credit offerings, including credit risks and regulatory requirements. Understanding of risk management practices, extensive knowledge of financial data Demonstrated proficient SQL experience. Demonstrated experience leading projects. Proficient experience in identifying and evaluating data trends, isolating root cause, and providing swift/thorough resolution. Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Strong ability to develop partnerships and collaborate with other business and functional area. Strong communication, interpersonal and leadership abilities. Job Expectations: Masters/Bachelors degree in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences Relevant experience in the Banking & Financial Services Industry domain. Relevant experience creating artifacts such as procedure documents, flow charts, and control evidence. Relevant of experience in SAS & SQL and one of the visualization tools like Power BI or Tableau. Relevant of experience years of Risk experience. Relevant of experience in Data Quality/Data Defects/Data Governance Relevant of experience with applying and executing, reviewing controls or assurance with business processes. Proven experience effectively prioritizing workload to meet deadlines and work objectives. Proven ability to collaborate effectively with business and technical subject matter experts. Strong analytics skills and comprehensive understanding of financial services products and risk drivers Ability to lead project teams and coordinate with multiple stakeholders.

The candidate will be part of the Corporate Strategy & Planning team and shall manage strategic projects focused on business growth, risk management, and operational improvements. This role will involve supporting partnerships, helping to identify growth opportunities, and ensuring smooth project delivery. Role & responsibilities Support / lead / program-manage Strategic projects including but not restricted to existing business growth, new business incubation, inorganic growth, new business build and partnerships (synergies with SMBC Corporate customers), risk management (credit policy, operational, fraud), risk analytics, collections and recoveries excellence, operational excellence. Program management of strategic projects. Support execution and delivery of strategic projects e.g. incubation of new business, new partnerships (synergies with SMBC Corporate customers), risk management, recoveries excellence, etc. Support in developing presentations. Macro / industry / competition intelligence to identify opportunities for SMICC business growth / value creation. May include both primary and secondary market research and data analysis. Above responsibilities may include cross-functional interaction with Sales, Product, Risk Policy, Underwriting, Collections / Recoveries, Tech teams. Strong problem-solving skills: hypothesis based problem-solving, strong analytical skills, thinking-on[1]the-feet, resourcefulness. Business judgment and practicality; data analysis (excel skills) Communication skills: Strong written and verbal communication, articulate, concise, senior and confident presence. Able to work in cross-functional and cross-cultural teams. Domain knowledge of lending value-chain is a strong plus (experience in lending industry) across functions like Strategy, Product, Finance, Risk (Policy, Governance, Collections/Recoveries), Analytics, etc. Preferred candidate profile Experience Required (In Years) Minimum Experience: 2 to 5 years of experience Prior Banking / NBFC

You have 6-8 years of work experience and prefer working in the financial services domain, although other domains can also be considered. Your skills include expertise in product cross-sell strategy, project management, stakeholder management, risk analytics, and AI/ML predictive modeling. You are proficient in SQL, Python, PySpark, and have experience working on Cloud platforms like GCP/AWS/Azure. As a part of the Cross-Sell Analytics & Data Science vertical, you will be responsible for developing organization-wide cross-sell programs across financial products. Your role will involve collaborating with internal and external stakeholders to design cross-sell programs and go-to-market strategies. You are expected to deliver both Business Analytics and Statistical Modeling solutions and effectively communicate and present analytical solutions to senior management. Having a basic understanding of the data engineering process, ETL, automations, and experience working on Cloud Data Platforms would be beneficial. Managing stakeholder expectations to ensure timely project delivery is crucial. You are characterized by high energy, a solution-oriented mindset, and a positive attitude towards problem-solving. Additionally, you will be guiding and mentoring a team of junior data analysts and scientists to deliver quality projects in a timely manner.,

The Balance Sheet Management (BSM) unit is a division within Treasury and is part of Citigroup's broader Finance organization. The specific responsibilities of Balance Sheet Management cover five key areas: Asset and Liability Management (ALM): FTP Governance & Execution: Establishes and oversees the policies for pricing business assets and liabilities based on interest rates and liquidity values. Executes various transfer pricing processes firm-wide and ensures minimal retained costs and balance sheet in Treasury through an effective allocation process. Interest Rate Risk Management: Evaluates, analyzes, and reports Interest Rate Risk in the accrual businesses for Citigroup. Balance Sheet Analytics & Management: Conducts analytics related to the firm's balance sheet, NIR/NIM, and associated financial metrics to drive financial resource allocations. Leads internal and external communication of the strategy and performance of the balance sheet. Capital Management & Portfolio Analytics: Proposes Capital Policy design to Capital Committee, manages capital distribution strategy, and designs methodologies for allocating capital limits. Leads the design and delivery of portfolio management reporting and analytical capabilities to support Treasury's securities portfolios. Balance Sheet Costing (Infrastructure): Leads the design, development, and implementation of the firm's Funds Transfer Pricing system. Balance Sheet Costing (Methodology): Leads cross-functional working groups to design and evolve Balance Sheet costing frameworks and methodologies. Attributing resource costs/benefits across users/providers of balance sheet resources. Asset Allocation: Designs and manages Treasury's allocation process on security portfolio strategy for Citigroup's $400bn+ global liquidity portfolios. Performs review and challenge of the Stress Testing results for securities portfolios and oversees model governance for valuation and forecasting of AFS/HTM asset classes. The Balance Sheet Management Analyst will focus on designing, developing, and optimizing Tableau dashboards, data pipelines, and reporting solutions to support IRRBB (Interest Rate Risk in the Banking Book) and Balance Sheet Management functions. The role requires strong technical skills in data visualization, data flows, and data engineering to ensure scalable and automated Treasury analytics. This position is ideal for candidates experienced in building interactive Tableau dashboards, developing ETL pipelines, and applying data science techniques to analyze and transform large financial datasets. The analyst will collaborate with various teams to improve risk analytics, automate reporting, and optimize data-driven decision-making processes. Responsibilities: - Develop and optimize Tableau dashboards for real-time IRRBB, balance sheet, and liquidity analytics, providing intuitive visual insights for Treasury stakeholders. - Design and maintain automated data pipelines, integrating SQL, Python, and ETL processes to streamline financial data ingestion, transformation, and reporting. - Enhance data flows and database structures to ensure high data accuracy, consistency, and governance across Treasury risk reporting. - Implement data science methodologies for time series analysis, trend forecasting, and anomaly detection to support IRRBB and balance sheet risk analytics. - Automate EUC solutions to replace manual reporting processes with scalable, repeatable, and efficient workflows. - Collaborate with cross-functional teams to understand data needs, enhance reporting capabilities, and ensure alignment with regulatory and business requirements. Qualifications: - 5+ years of experience in banking/finance, focusing on Balance Sheet Management, IRRBB, Treasury, or Risk Analytics. - Strong expertise in Tableau dashboard development, including data visualization best practices and performance optimization. - Experience in building and maintaining data pipelines using SQL, Python, and ETL tools for financial data processing. - Familiarity with data science techniques applied to financial datasets. - Proficiency in data governance, validation, and reconciliation for accuracy in Treasury risk reporting. - Strong analytical and problem-solving skills to translate business needs into technical solutions. - Bachelor's degree in Finance, Computer Science, Data Science, Mathematics, or a related field. Education: - Bachelor's degree, potentially Master's degree. The role emphasizes technical expertise in Tableau, data engineering, and data science while maintaining a strong connection to IRRBB and Balance Sheet Management solutions. 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. Job Family Group: Finance Job Family: Balance Sheet Management Time Type: Full time Most Relevant Skills: Business Acumen, Data Analysis, Internal Controls, Management Reporting, Problem Solving, Process Execution, Risk Identification and Assessment, Transfer Pricing. Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.,

Your Role We"re looking for a dynamic professional Cloud Initiative Lead with expertise in AWS, Risk Analytics , and cross-functional leadership to drive strategic initiatives across departments. The ideal candidate will lead planning and execution efforts, manage risk, and ensure successful delivery of cloud-based solutions. Lead the planning, execution, and delivery of strategic initiatives across departments. Collaborate with senior leadership to define initiative goals, KPIs, and success metrics. Develop detailed project plans, timelines, and resource allocation strategies. Facilitate cross-functional collaboration and communication to ensure alignment and accountability. Identify risks and develop mitigation strategies to ensure timely delivery. Monitor progress and provide regular updates to stakeholders and executive sponsors. Drive continuous improvement by capturing lessons learned and implementing best practices. Your Profile Initiate Lead, AWS, Risk Analytics Familiarity with cloud platforms (AWS, Azure, GCP). Familiarity with Agile or Lean methodologies. Industry-specific knowledge

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Lead end-to-end SAP TRM implementations across Transaction Manager, Cash & Liquidity, In-House Cash, and Risk Analyzers. Collaborate with stakeholders to design scalable treasury solutions aligned with business needs. Ensure seamless integration with SAP FI/CO/FSCM and external systems. Provide technical leadership, conduct testing, and maintain solution documentation. Drive innovation and support change management in treasury transformation programs. Your Profile 8+ years SAP experience, with 4+ years in SAP TRM and deep treasury domain expertise. Strong understanding of financial instruments, derivatives, and risk analytics. Proven track record in large-scale SAP TRM architecture and implementation. Experience with S/4HANA Treasury and SAP certifications preferred. Excellent communication, leadership, and stakeholder engagement skills. What you"ll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Location - Hyderabad,Bengaluru,Kolkata,Pune,Mumbai

About The Role Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic Requirements Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

We are seeking a passionate and technically fluent Product Manager to join our Development Environment Engineering team This role is ideal for someone who thrives in developer-centric environments, understands engineering workflows, and can translate developer needs into actionable product priorities You will serve as the critical interface between our internal developer community and the engineering team , ensuring that our development environments remain stable, scalable, and optimized for productivity The s uccess in this role hinges on your ability to actively listen, thoughtfully prioritize developer needs, and collaborate effectively with engineering partners to drive impactful solutions As a trusted product expert, you will take ownership of the roadmap and deliver features related to a strategic effort to shape the future of developer environments for the organization You are: Passionate about building technical solutions in partnership with engineering teams A self-starter who enjoys solving complex problems that deepen our understanding of end users Curious to learn new skills and willing to embrace work outside of your comfort zone Comfortable challenging the status quo and using your entrepreneurial spirit to create new solutions A team player who is energized by working in a fast-paced environment Key Responsibilities Gather, evaluate & define detailed product requirements, use cases, user stories, and user journey maps necessary to deliver a feature to users Drive the end-to-end strategy for test data management, ensuring scalable, secure, and compliant data solutions that accelerate product quality and delivery Partner with engineering leads to scope, refine, and deliver features Ensure alignment across squads and maintain velocity through agile ceremonies and sprint planning Become the go-to person for the product, growing expertise in the product s full capabilities Track feature progress throughout the month and be able to report to senior members of the team Manage stakeholders and the product backlog for client feedback, roadmap, epic and feature prioritization, and new requests against client commitments Articulate, communicate, and demo upcoming release details and new features to the broader product, client and relevant teams Participate in PDLC practices, such as quarterly planning, backlog grooming, sprint planning, and delivery demos Coordinate the agenda and product artifacts for product governance forums and joint working groups Summarizing decisions, next steps, and feedback on product readiness for stakeholders Manage dependencies across teams to ensure alignment and mitigate risks Required Skills & Experience 4 + years of product management experience, ideally in platform or developer tooling domains Strong interpersonal skills with a proven ability to build trust and rapport with engineering teams Excellent analytical and problem-solving skills with a user-first mindset Exceptional written and verbal communication skills with the ability to present complex information clearly and concisely Experience working in multi-functional teams with low interdependency and high autonomy Experience in agile product development and backlog management Ability to synthesize technical feedback into clear product requirements Strong working knowledge of agile methodology and help team in the sprint planning and daily stand ups Experience with test data management and/or quality engineering (QE) Preferred Qualifications Exposure to developer platforms or similar enterprise-grade environments Bachelor s degree required ; Computer Science or Engineering disciplines preferred Familiarity with CI/CD, segmented environments, and developer productivity metrics Hands on development experience would be greatly beneficial

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 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We are seeking a highly skilled Technical Business Analyst (BA) with strong expertise in Moody s Risk Authority (RAy) and credit risk systems. The ideal candidate will bridge the gap between business stakeholders and technology teams, ensuring that regulatory, risk, and reporting requirements are translated into effective system configurations and solutions. Act as the primary liaison between business users, risk teams, and technology teams for Moody s Risk Authority implementations. Gather, analyze, and document business requirements related to credit risk reporting, regulatory compliance, and risk analytics. Work with Moody s RAy product configurations update, test, and validate changes for credit risk reporting. Analyze intermediate and final result tables within RAy to support reporting and validation. Ensure compliance with credit risk regulations (Basel III/IV, IFRS9, CECL, ICAAP, etc.). Collaborate with developers, DBAs, and testers to deliver end-to-end solutions. Create functional specifications, data mapping documents, and workflow designs . Participate in system testing, UAT, and production rollouts , ensuring accuracy of risk reporting. Provide knowledge transfer and documentation to support teams. Required Skills & Qualifications 6 10 years of Business Analyst experience in Banking / Financial Services . Hands-on experience with Moody s Risk Authority (RAy) configuration updates, reporting framework, and data tables. Strong knowledge of credit risk management and regulatory frameworks (Basel III/IV, IFRS9, CECL). Proficiency in SQL for querying and analyzing large datasets. Familiarity with data flows, ETL processes, and reporting tools within risk systems. Strong documentation skills (BRD, FSD, data dictionaries, user stories). Experience in Agile/Scrum delivery models . Excellent communication and stakeholder management skills. Good to Have Knowledge of Moody s RiskFoundation, RiskConfidence, or other risk engines . Exposure to credit risk modeling concepts (PD, LGD, EAD, RWA calculations). Technical background in .NET / Java / ETL tools (to liaise effectively with dev teams). Hands-on experience with cloud-based risk solutions (AWS/Azure hosting of Moody s products).

About The Role Kotak Mahindra Bank looking to hire Team Member-Credit Risk LocationBKC, Mumbai "¢ Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques In depth understanding of the underlying statistical techniques and functional insights that drive Credit Risk models and the experience of having used modelled output in computing Expected Credit Loss (ECL) under Ind AS or Credit Risk Capital under Internal Ratings based approaches, Economic Capital and having taken these measures through the scrutiny of auditors and regulators Derive insights from data and effectively communicate these insights to Risk, Credit and Business teams "¢ Preparing and submitting reports to the regulator and / or senior management on a periodic and adhoc basis. The job-holder will be responsible for computing and reporting ECL and related metrics on an on-going basis. "¢ Ability to work with (gather, consolidate, prepare, summarise) large data sets on a routine basis with an eye for detail and flair for numbers. Data cleansing and preparation for use in model building. "¢ Ensure reliability, integrity and consistency of reported and underlying data "¢ Build and manage a team of like-minded data analysts and modellers "¢ Between 8 and 12 years of experience in the areas of risk and data analytics particularly in the area of Credit Risk. Exposure to risk reporting or financial reporting would be an advantage. "¢ Degree in statistics or econometrics (or equivalent professional qualifications) with hands-on experience in statistical model development, implementation, validation and use is highly desirable "¢ Extensive experience and expertise in using any one or more among Python / SAS / R. Intermediate level SQL skills will be useful. "¢ Strong experience in areas like delinquency or loan loss forecasting, expected credit losses capital computation under advanced approaches. "¢ Experience in projects involving automation / data consolidation in the areas of risk or financial reporting would be an advantage

Hyderabad 5 Days office in a week Final round of interview face to face Mandatory Risk Analyst Model Risk Management (MRM) | ICE We are looking for a Risk Analyst to join the Model Risk Management (MRM) team at ICE. This team independently validates quantitative models used across the business and ensures they perform as expected. The role combines data analysis, statistical modeling, and risk management with clear reporting and presentation to stakeholders. Key Responsibilities: Validate and support risk and financial models across business units Perform data analysis using statistical, mathematical, and computational methods Write clear validation reports and present findings to stakeholders Automate and enhance reporting processes Collaborate with domain experts on risk best practices and policies Required Skills: Masters degree in Economics, Finance, Statistics, Mathematics, or related field Strong knowledge of statistics (distributions, regression, time series, probability, etc.) Hands-on experience with Python or R and SQL Excellent writing, presentation, and communication skills Detail-oriented with strong problem-solving and analytical mindset Preferred: 2+ years’ experience with financial/economic data analysis Progress toward FRM or CFA certifications Exposure to Tableau or other visualization tools

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Strategic Analytics Associate in the Fraud-Risk Strategy team, you'll work to generate thoughtful analytics and recommendations to the business concerning 1st-Party (Scams & Wrongdoer/Mule) and 3rd Party (Account-Takeover, Third-Party-Inducement) risk identification and mitigation. You would be responsible for strategy development, implementation, operational controls, and performance monitoring. Your responsibilities will include developing and maintaining periodic analytics to provide management with full insight into emerging fraud trends. You will need to attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights across the full account lifecycle. Acquiring an understanding of the operational processes (e.g., manual underwriting, portfolio management, collections) will aid in understanding acquisition performance drivers. Additionally, you will conduct ad hoc analytics and contribute to various projects representing Risk Management. Required qualifications, capabilities, and skills for this role include an MS degree and 3 years of Risk Management experience, or a BS degree and a minimum of 5 years of Risk Management or other quantitative experience. Fraud Risk Strategy experience is essential, along with a background in statistics, econometrics, or another quantitative field. An advanced understanding of SAS, SAS Enterprise Miner, or other decision tree software is required. You should have the ability to query large amounts of data and transform raw data into actionable management information. Familiarity with risk analytics techniques, strong analytical and problem-solving abilities, strong written and oral communication skills, and experience delivering recommendations to management are also necessary for this role.,

Role & responsibilities Implement Credit policy logic in Credit/Business rule engine and monitoring Develop logic and conduct testing of implemented logic Responsible for implementing credit policy in coordination with risk ,IT , product and Business Support in implementation of projects and product development to mitigate credit risk in the organization Prepare/Analyse/maintain credit risk models (scenario testing) in line with requirements of organization. Prepare risk reports on a regular basis. Identifying and analysing potential credit risk areas based on the data provided and recommending action plans Preferred candidate profile 1-4 years experience (preferably in MFI/FI/Bank/working in Credit risk domain) Engineering/ MBA(Finance) Proficient in MS-Office (Excel, PowerPoint and Word) Strong analytical skills. Knowledge of analytical tool (preferably R/Python/SAS)- python must Strong English verbal and writing skills understanding of MFI/FI/Bank business environment is plus Regards, Sandipa 7980475998