64 Model Validation Jobs - Page 2

Market Risk Strats group in Risk Engineering is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The group is responsible for designing, implementing and maintaining quantitative measures of market risk such as Value at Risk(VaR), Stress Tests, as well as metrics used to determine the firm's capital requirements. The responsibilities of Market Risk Strat include: Develop, implement, and maintain quantitative measures of market risk (Risk Models) such as VaR, Stress Test and Capital models in order to assess the market risk of the Firm's businesses. Work on large datasets to extract useful insights on firm's risks Evaluate new capital regulations, including the Fundamental Review of the Trading Book (FRTB) and facilitate the understanding of their impact on the Firm's market risk capital. Coordinate across multiple continents and multiple groups, including traders, strats, technology and controllers to implement the new capital regulations. Communicate clearly about complex mathematical concepts with internal and external stakeholders such as risk managers, market making businesses, senior management and regulators. Perform quantitative analysis and facilitate understanding of the market risk for a variety of financial derivatives, including exotic products. Provide supervision and quantitative / technical guidance to more junior risk management professionals. In performing the job function, an associate in Market Risk Strat will have the following opportunities: Broad exposure to pricing, risk and capital models for a variety of financial products Exposure to challenging quantitative problems such as modeling market risk for derivatives, large scale Monte Carlo simulations of complete portfolios across the firm, and fast approximation of market risk measurements. Development of quantitative and programming skills as well as product and market knowledge. Work in a dynamic teamwork environment. Basic Qualifications: Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering Strong quantitative skills and programming skills Good knowledge of statistics, econometric modeling and probability theory. Strong written and verbal communication skills ability to explain complex quantitative concepts to a non-technical audience. Preferred Qualifications: Competence in data science, stochastic processes, and advanced mathematics Experience working with large data sets Knowledge of more than one financial asset class

The group's primary mandate is to manage risk that arises from models used in the firm through its range of businesses from models used for derivatives valuation to models used for risk management, liquidity and capital computations. In addition to independently reviewing these classes of models for their validity, theoretical consistency and implementation accuracy, the group is also responsible to assess the risk associated with model choice, e.g., exposure to choice of model in various contexts such as pricing exotic options or in calculating capital. The analysis and reporting team is a new function within the MRM group that is responsible for analyzing, monitoring and reporting on model risk for the firm. The group works collaboratively with the model validation team to understand and communicate results of model validation activities, changes in model risk and other model-related issues to key stakeholders and management. WHAT WE LOOK FOR This business is ideal for collaborative individuals who have strong ethics and attention to detail. Whether assessing the creditworthiness of the firm's counterparties, monitoring market risks associated with trading activities, or offering analytical and regulatory compliance support, our work contributes directly to the firm's success. The MRM group looks for people with strong quantitative and technical backgrounds and a strong interest in financial markets. We seek bright and dynamic individuals with a degree in quantitative fields such as math, physics, engineering, computer science, or financial engineering. RESPONSIBILITIES Perform validation and approval of the firm's models by verifying conceptual soundness, methodology, and implementation, and by identifying limitations and uncertainties Assess and quantify model risk by developing alternative benchmark models Oversee monitoring of ongoing model performance Communicate validation outcomes to key stakeholders and management SKILLS AND RELEVANT EXPERIENCE Excellent quantitative problem solving skills Experience in stochastic modeling, numerical simulation, and data analysis Machine learning knowledge Good communication skills with the ability to explain complex problems in a simple way Eagerness and ability to learn new technologies and programming languages Excellent organizational skills Team orientation and ability to work in a fast paced environment

Assistant Manager- Model Validation (CAT Modeling) Full-time Company Description About The Role Job Overview: Understand the basics and principles of cat modelling and outputs (exposure, hazard, geocoding, vulnerability, financial model) Know how to use one or more than one cat modelling software (RMS, AIR, IF etc.) Run and analyze QBE exposures on different modelling software like Risk Modeler, AIR Touchstone, ELEMENTS as per model validation project needs and business. Understand different model profile settings and run sensitivity tests as per needs, extract and report results Understand Client exposure and view of risk, enabling better decision making, get familiarized with in-house tools Your responsibilities for this role may include, but are not limited to: Perform model validation and provide recommendations on model use and/or required adjustments. Work with internal teams and external data providers on analysis, utilizing available data including scientific information, claims and insured exposure. Contribute to and lead Group projects as required, liaising with other teams globally Produce customized reports on exposure and modelled results. Evaluate re/insurance pricing for individual accounts and product classes. Analyze catastrophe reinsurance structures and strategies to support reinsurance placements. Assist with the analysis of real time events and identify learnings from post-event reviews. You will need to be able to display you have the following qualifications and experience Postgraduate/Undergraduate degree, preferably in a quantitative, scientific, or environmental discipline Strong analytical and numerical ability, in order to interrogate large datasets Experience of working with re/insurance catastrophe data and/or catastrophe modelling software Excellent written and verbal communication skills, and the ability to explain technical concepts clearly Pro-active attitude to identifying inefficient processes and developing improvements Desirable Requirements Knowledge of commercial insurance and/or the catastrophe modelling industry Sound working knowledge of RMS/AIR and any other vendor modelling platforms Coding experience in a relevant language (e.g. SQL, VBA, R, C#) Experience in using mapping software (e.g. GIS) Qualifications Degree in Mathematics, Applied Mathematics, Statistics, Engineering, or Actuarial Science Job Location Cookies Settings

EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EYs FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions that can help FSO clients to identify, measure, manage and monitor the market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management and other capital markets activities. Within FSRM, the Credit Risk (CR) team assists clients to design and implement strategic and functional changes and regulatory changes across risk management within the banking book portfolio. Clients include large domestic and global financial institutions and banking organizations. Key Responsibilities Demonstrate deep technical capabilities and industry knowledge of financial products, in particular lending products Understand market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client's business Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes Play an active role in mentoring junior consultants within the organization Required to review, analyse and concur with tasks completed by junior staff Flexibility to work across projects involving model audits, validation and development activities Qualifications, Certifications and Education Must-have: Postgraduate (masters in accounting, finance, economics, statistics or a related field) with at least 3 years of related work experience Complete, end-to-end understanding of credit risk model development, validation, audit and/or implementation for the banking book portfolio. Knowledge of Credit Risk and Risk Analytics techniques is desirable. Should have hands on experience in data preparation, manipulation and consolidation. Strong background in regulatory requirements such as IFRS 9, CCAR, CECL within model development/validation/audit domain Expertise in Stress Testing/DFAST PD/LGD/EAD models Strong documentation skills. Required to be adept in quickly grasping key details and summarizing them in a presentation or document. Should be able to take initiative and work independently with minimal supervision, if required Strong background in statistics and econometrics. Specially- Logistic regression, Linear regression. Strong technical skills, highly proficient in Advanced Python (Pandas, Numpy, ScikitLearn, Object Oriented Programming, Parallel Processing), SAS (SAS Certified Preferred), SQL, R, excel

Responsible for executing model validation activities, including validation, annual review, ongoing monitoring, findings management, and model use approvals for low- and moderate- risk models. May assist in testing and validation of higher risk models and review the conceptual soundness of models and assess limitations and suitability for use. Knowledge in one or more key model areas of Artificial Intelligence/Machine Learnings, Statistical and Stochastic processes, or Insurance and Actuarial Modeling. Key Responsibilities: Conducts finding closures, annual reviews of low-, moderate-, high-risk models. Responsible for conducting model change and BAU validations for low-, moderate-, high-risk models. Consults with model owners and model developers to promote best practices and resolve questions or deficiencies. Supports in administrative activities like planning book of work, adhoc reviews, peer coaching etc. Supports model governance policies and procedures, templates, and risk reporting and provides level 2 technical support to business. Required Qualifications: Has a minimum of 3 years of experience with masters degree or 1-2 years with PhD, in model risk management in banking or insurance. Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U. S. based financial planning company headquartered in Minneapolis with a global presence. The firm s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if youre talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Full-Time/Part-Time Timings (2:00p-10:30p) India Business Unit AWMPO AWMP&S Presidents Office Job Family Group Business Support & Operations

Job Description: PwC India is seeking highly skilled Market Risk to join our team. Designation: Senior Associate / Manager Location - Bangalore / Mumbai Responsibilities: Market Risk Model Development or Validation experience covering Value at Risk (VaR), Stress VaR (historical full revaluation, Taylor var approximation (delta gamma method), Monte Carlo) for linear instruments and derivative products, VaR mapping, back-testing VaR, Expected Shortfall, Market risk Stress testing Loss estimation, RWA calculation, Sensitivity & Scenario analysis and other coherent risk measures, modeling dependence: correlations and copulas, term structure models of interest rates, and volatility modeling Deep understanding of the Fundamental Review of the Trading Book (FRTB) regulations, specifically expertise in the Internal Models Approach (IMA) and the Standardized Approach (SA). IMA & CVA Experience is preferred Demonstrated experience in development/validation of quantitative models within the banking sector, aligning with FRTB standards, particularly in market risk modeling. Familiarity with risk factor modellability concepts, and adeptness in calculating capital requirements under FRTB guidelines. Perform the back test of the distribution of simulated risk factors Conduct quantitative analysis of market data, including historical market data and current market trends, to identify potential risks and recommend appropriate risk mitigation strategies Stay up to date with industry trends, regulations, and best practices related to market risk management Requirements: Must hold a Masters or Ph.D. degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field, ensuring a strong foundation in complex financial modeling. 3+ years of experience in market risk model development/validation Proficiency in programming languages such as Python, R and strong analytical skills for effective data interpretation and model analysis. Excellent verbal and written communication skills for effective articulation of complex quantitative concepts, and a collaborative approach for working in team environments with other analysts, risk managers, and IT professionals. Candidates with exposure to FRTB- Standardized Approach implementation or FRTB IMA - Model development experience will be preferred FRM/CQF/CFA certification would be a plus

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

About The Role : Job Title Model Validation Senior Specialist- Derivative Pricing, AVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleSenior Risk Analyst LocationPune, India Role Description Today, markets face a whole new set of pressures but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. Were looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. Thats why we are Investors for a new now. As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients financial future. And in return, well give you the support and platform to develop new skills, make an impact and work alongside some of the industrys greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. About DWS Investment Risk The Chief Risk Office within DWS is an independent function responsible for protecting the business as well as being a trusted adviser and partner for supporting sustainable business growth. As part of the Chief Risk Office, the Investment Risk team is in charge of independent oversight of investment risk of DWS fiduciary portfolios. In this role, it designs and executes the risk programs to identify, measure, control and manage market, liquidity, sustainability, and counterparty risk of fiduciary portfolios. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support the development and maintenance of investment risk management programs and models via quantitative analysis and development of new processes Support the documentation of investment risk management programs and models Conduct scenario calibration and model parameterizations Perform portfolio market risk monitoring, analysis, and reporting across different asset classes (e.g. equity, fixed income, and commodities) Execute ongoing model performance monitoring Design and execute compensating controls for identified model weaknesses Support and execute data quality management and escalation processes for different risk metrics Support the development of systems and tools to automate and operationalize risk limitation, measurement, monitoring and escalation processes Contribute to global and local projects Your skills and experience University degree in Finance or quantitative field, Chartered Financial Analyst or Financial Risk Manager designations a plus At least 2 years of proven experience in the financial services industry (Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management) Proven experience with analytical models for financial instruments Previous experience with BlackRock Solutions Aladdin preferred Good knowledge of financial instruments including related analytics Strong analytical skills (quantitative and qualitative) Good verbal and written communications skills Proactive mind-set to implement process improvements and new solutions Strong working knowledge of Excel, SQL, and Python How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

Essential Functions As a Sr Data / ML Scientist you will help design, enhance, and build next generation fraud detection solutions in an agile development environment. Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders. Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code based on need. Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems. Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques. Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models. Devise and implement methods for efficiently monitoring model effectiveness and performance in production. Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production. Contribute to development and adoption of shared predictive analytics infrastructure. Mentor and train other ML scientists on the team on key solutions Able to work on multiple projects and initiatives with different/competing timelines and demands. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner Basic Qualifications: 3+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: MS in Computer Science or related field 3+ years of experience as Data

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. My Role You will work with a growing team, bringing industry expertise and insights with a focus on ESG Risk, Compliance, and asset development. Keep apprised of evolving industry developments, regulations, and client expectations in ESG space Work closely with CxOs and Transformation groups in integrating ESG elements with BAU. Assisting clients mature in their ESG journey through strategic developments. Keeping apprised of evolving industry developments in Environmental, Social and Governance investing and new regulatory standards in EU, APAC and North America (Such as EU taxonomy, CSRD, SFDR etc.) Cooperation with other group entities and risk stewards, to gain insight into emerging risks, best practices, and interpretations. My Profile ESG reporting standards, regulations & frameworks such as CSRD, EU Taxonomy, GRI, TCFD, CDP, DJSI, TNFD, etc. ESG strategy & roadmap development ESG due diligence & assessments Climate change risk advisory, assessments etc. ESG performance and impact measurement through data ESG solutioning - Building and deploying ESG product/tool/prototype, taking different client requirements into account 1 to 8 years of experience in business analysis, data analysis, risk modelling (preferable in ESG & Sustainability domain) with ESG consulting background Knowledge and experience in global environmental standards and frameworkssuch as UN Sustainable Development Goals (UNSDGs), Sustainability Accounting Standards Board (SASB), Task Force on Climate-related Financial Disclosures (TCFD) and others Strong communication, relationship-building skills and be comfortable working in a fast-paced environment Experience in designing or redesigning an ESG solutions. Any experience in using hyperscalers suites such as Microsoft cloud for sustainability, AWS Sustainability solution etc. Experience in ESG suites such as Workiva, SWEEP, Enablon, UL360 etc. What youll love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini 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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Senor Manager and Team Leader, Model Validation In this role, you will be responsible for leading a model validation function covering market risk, counterparty credit risk and derivatives valuation. Responsibilities You will be leading a team of varying seniority resources who are working with independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models. Your activities will include, but will not be limited to the following: Bringing the thought leadership to review the team’s output and guide the team in effective challenge of the models they are working on. Occasionally, validating models Develop in-depth understanding of clients’ products and systems. Develop awareness of existing model limitations. Maintaining strong relationships with clients’ leaders in the market risk, counterparty credit risk and traded products The team work on the following: Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines. Exhaustive model validation will include conceptual assessment of model’s use, method, assumptions, limitations and on-going monitoring and control, model’s outcome analysis. Development of benchmark models may be needed. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Prepare model validation report summarizing findings and providing recommendations. Taking strategic decisions to ensure delivery objectives and client satisfaction. Coordinate with internal management and support functions to execute on the strategies. Qualifications we seek in you! Minimum Qualifications / Skills Post-graduate degree / diploma in Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF. Candidates with PhD degrees will be preferred. Candidate with MBA degree needs to show strong advance mathematical knowledge / background. Relevant experience in Banking or Capital Markets, with experience in model validation. Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines – SR 11-7, FRTB SA, CCR, SIMM, SA CCR, Stress Testing Good understanding of model / system landscapes, like, pricing / Greeks, scenario generation, risk aggregation, etc. Good understanding of vanilla and exotic derivatives in all asset classes, and their impact on various market risk (VaR, SVaR, FRTB – SBM, DRC and RRAO) and CCR components. Thorough understanding of stochastic processes and their models, stochastic volatility models, yield curve models Good understanding of conventions of various markets like treasury, fixed income, equities, commodities etc. Good understanding of market conventions of various risk factors, such as IR, EQ, FX, etc. and understanding of inflation products and their quotations. Exposure to any treasury system such as Murex, Calypso etc. or market data providers such as Bloomberg and Reuters. The ability to build stochastic Monte Carlo and PDE based models in Python. Effective communication/presentation skills – written & verbal. Self-driven, initiative-taking, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Preferred Qualifications/ Skills Strong networking, negotiation and influencing skills. Though leadership in model validation practices. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Performing factor, strategy, portfolio construction and risk model related research projects Ensure collected data is prepared for cleansing and factor analysis Analysing and interpreting data to identify trends and patterns Results interpretation, presentation of results to the team, and refinement of models based on feedback given. Running scripts / process for existing quants models Manager Selection Portfolio construction Reporting – assimilation of data and preparation of decks Tech Stack – R / Python + SQL Dashboards + website – UX / UI – React / Java Script / HTML +

SUMMARY Job Role: Credit Risk Business Analyst Location: Pune Experience: 6+ years Must-Have: 6 years of relevant experience in Credit Risk Business Analysis and Risk Analysis. Job Description The Credit Risk Business Analyst is responsible for evaluating, monitoring, and reporting on counterparty credit risk exposure within trading activities. This role involves close collaboration with traders, risk managers, and other stakeholders to ensure effective risk measurement and management in alignment with regulatory requirements and internal risk tolerance. Key Responsibilities Counterparty Credit Risk (CCR) Assessment & Monitoring: Evaluate and monitor counterparty credit risk exposure for derivatives, securities financing transactions (SFTs), and other trading activities. Utilize methodologies such as the Standardized Approach for Counterparty Credit Risk (SA-CCR) and Potential Future Exposure (PFE) to quantify risk. Assess counterparty financials, credit ratings, and market behavior to gauge default risk. Conduct stress testing and scenario analysis to evaluate potential adverse impacts on counterparty risk exposure. Assist in establishing and monitoring counterparty risk limits, ensuring adherence to internal risk policies. Collaborate with market risk teams to assess the impact of market movements (e.g., interest rates, FX rates, volatility) on counterparty exposure. Identify and monitor exposure concentration risks across products, counterparties, and sectors. Support pre-trade risk analysis by evaluating potential counterparty risk for new transactions and trading strategies. Ensure compliance with Basel III/IV, SA-CCR, and other relevant counterparty risk regulations. Prepare risk reports for internal stakeholders and regulators, offering clear insights into counterparty risk profiles. Support regulatory capital calculations and reporting, ensuring accurate assessment of risk-weighted assets (RWA). Requirements Requirements: 6+ years of experience in Credit Risk Business Analysis and Risk Analysis Knowledge of methodologies such as SA-CCR and PFE Familiarity with Basel III/IV regulations and other relevant counterparty risk regulations

Job Summary: Credit Risk Modelling Analyst will be responsible to manage the model implementation cycle (from design, implementation, monitoring to demise) of Credit risk, Fair Lending and IFRS9 models covering the Large corporates, Mid-market and SME portfolios along with Banks / FIs and Sovereign portfolio. Job Description: - Involve in model development, model validation, model recalibration and monitoring model documentation and maintain the risk model inventory. - Performing these activities on the MRM framework for corporate BASEL and IFRS9 models. - Lead credit scoring modelling exercise with applicable compliance to regulations. - Validating Fair Lending Models and suggesting recommendations for enhancements. - Implementation and enhancement of ECL models based on internal enhancements, BASEL or Saudi Central Bank regulatory stipulation. - Working closely with BA's and system owners for model development. - Strong understanding of data analytics and enterprise-level data architecture, which is used to consolidate model development and model monitoring information. - Support business reporting and analytics function in generating bespoke reports from credit approver and rating system. Key Requirements: - 3+ Years of experience in model development, model validation and model management. - Understanding of Stress testing/ sensitivity testing - Good Understanding of Fair Lending models/ ML Model techniques and tests - Experience in risk requirements as related to scorecards and IFRS9/ CECL/ HMDA - Fair Lending. - Strong understanding of credit risk and model development/validation. - In-depth knowledge of model development and validation, including data extraction and pre-processing, modular model development, user acceptance testing and model performance assessments of: - IFRS9 models: staging, PD, EAD, LGD - Risk scorecards and frameworks - Large corporates, Mid-market and SME portfolios. - Credit decisioning and Early Warning Risk Models - Good programming skills in Python. Transferrable knowledge from R or SAS. - Knowledge of SAS EG and ECL will be an added advantage.

Job Summary We are seeking an AI Leader for building Guardrail Platform to drive the design, deployment, and governance of AI guardrails that ensure ethical, responsible, and compliant AI operations . This role involves collaborating with cross-functional teams to implement AI fairness, explainability, bias mitigation, security, and regulatory compliance frameworks across AI/ML pipelines. Roles & Responsibilities AI Guardrail Strategy & Implementation Define and implement AI guardrails to ensure ethical AI development, risk mitigation, and compliance. Establish automated monitoring for AI fairness, bias detection, and explainability. Lead the operationalization of Responsible AI (RAI) principles across the organization. AI Risk & Compliance Management Align AI models with regulatory standards (e.g., GDPR, AI Act, CCPA, NIST AI RMF). Develop governance frameworks for model validation, auditing, and risk assessment . Collaborate with legal, compliance, and security teams to ensure AI transparency. AI Model Security & Reliability Implement guardrails against adversarial attacks, data poisoning, and model drift . Establish secure AI deployment standards to prevent unauthorized AI model access or misuse. Establish DevSecOps pipeline teams to integrate AI security best practices . Operationalization & AI Governance Define AI monitoring KPIs for continuous risk assessment and compliance tracking. Develop automated pipelines to flag high-risk AI behaviors and decision anomalies. Foster a culture of explainable AI (XAI) & transparency for AI-driven decision-making. Cross-functional Leadership & Innovation Partner with product, legal, and engineering teams to integrate AI guardrails into MLOps workflows . Stay ahead of AI regulatory trends, industry best practices, and emerging risks . Competencies Required Skills Education Skills (NOT TO BE USED)

We are looking for a highly skilled and experienced Credit Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 2 to 7 years of experience in the BFSI industry, with expertise in credit operations. Roles and Responsibility Manage and process loan applications according to company policies and procedures. Conduct thorough credit analysis and risk assessments to determine client creditworthiness. Develop and maintain relationships with existing clients to ensure timely payments and resolve any issues that may arise. Collaborate with internal teams to identify new business opportunities and grow the bank's customer base. Monitor and report on credit portfolio performance, identifying areas for improvement and implementing strategies to mitigate risks. Ensure compliance with regulatory requirements and industry standards in all credit-related activities. Job Requirements Strong knowledge of credit operations, including credit scoring, underwriting, and risk assessment. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and colleagues. Proficiency in Microsoft Office and other banking software applications. Ability to work in a fast-paced environment, meeting deadlines and achieving targets. Strong analytical and problem-solving skills, with attention to detail and accuracy. Experience working in a similar role within the BFSI industry is preferred.

We are looking for a highly skilled and experienced Field Risk Officer to join our team at Equitas Small Finance Bank Ltd. The ideal candidate will have 1-5 years of experience in the BFSI industry. Roles and Responsibility Conduct risk assessments and evaluations to identify potential threats to the organization. Develop and implement strategies to mitigate risks and ensure compliance with regulatory requirements. Collaborate with cross-functional teams to monitor and manage risk exposure. Analyze market trends and competitor activity to inform risk management decisions. Provide expert guidance on risk management best practices to stakeholders. Identify and report on key performance indicators (KPIs) related to risk management. Job Requirements Strong understanding of risk management principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment and prioritize multiple tasks. Strong communication and interpersonal skills. Experience working with financial institutions or similar organizations. Knowledge of relevant regulations and standards, such as Basel II or CCAR/CECL. Additional Info The company offers a competitive salary and benefits package.

About The Role Reporting to the Team Lead, MCoE Lead BLR, this is an exciting opportunity for a skilled actuarial student to join the Life & Health Business Management division, which is responsible for the inforce management of Swiss Re's global L&H Reinsurance business, Support the development and maintenance of Life & Health AXIS models used for financial reporting and portfolio management in US and Canada Provide support to AXIS MCoE team leads to help resolve model issues through debugging, unit testing and knowledge sharing as required Ability to handle stakeholder requests and deliver solutions independently Produce high quality models and associated documentation for the user community Ensure model development and testing activities are in accordance with agreed model governance framework and testing procedures Enhance and extend various existing model building tools and model validation tools as needed Support the development of IT systems to enable the rapid transition to the target landscape, and help drive operational excellence Drive continuous process improvements to maximize productivity and work product quality About The Team We reside within the L&H Business Management division, which manages our reinsurance business With a team size of approximately 20 colleagues spanning multiple geographic locations, you will have the opportunity to influence a wide variety of team goals and add to team spirit, About You A highly motivated and internally driven individual with good progress toward fellowship with at-least 0 2 years of experience Proficiency in AXIS and SQL is desirable Excellent understanding of fundamental actuarial concepts Ability to work independently, accurately and deliver to deadlines Excellent communication and social skills to build and maintain positive relationships, internally within the team and externally with key partners Reliability integrity, judgement, energy/will, ownership, analytical power Excellent organisational and analytical skills with attention to detail; able to quickly absorb details on business structure, product features and model requirements Shows initiative in identifying issues and supporting other team members, peers and senior stakeholders Growth mentality with a dedication to maintain a team spirit based on openness and respect Desire to learn from highly skilled industry professionals across multiple fields to grow your professional development About Swiss Re Swiss Re is one of the worlds leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime We cover both Property & Casualty and Life & Health Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients This is possible thanks to the collaboration of more than 14,000 employees across the world, Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability, If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience, Keywords Reference Code: 133585

Join us as a Senior Model Developer in Treasury and Liquidity Risk at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences, You will be responsible for developing best in class treasury and liquidity models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development, experience on coding languages like Python OR R OR C++, as well as job-specific skillsets, To be a successful Senior Model Developer in Treasury and Liquid risk you should have experience with: Treasury Models (Deterministic Model) 1 (A) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation, Treasury Models (Statistical Model 1(B) You must have knowledge of the following in Risk / Finance / Quant Modelling (across at least some of the these) Treasury Risk (Interest Rate Risk of Banking Book-IRRBB), Liquidity Modelling (TWD/Unwinding of securities and balance sheet resolution/RRP), Hedge accounting (cashflow management for testing IFRS and GAAP accounting), ICAAP VAR Model (Interest Rate Risk of banking book for VAR), PRA110 liquidity reporting, Model Implementation Hands on coding experience (as a full-stack developer / agile developer etc Preferable language is Python, C/C++ etc), Hand on experience in Model Development and/or Model Validation (core development experience preferred)/Model Implementation, Experience in IRRBB, RRP, TWD, Hegde accounting, Liquidity Modelling, FX rate risk, ICAAP VAR model, Balance-sheet Modelling, Cash Flow Forecasting, You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills, Job location of this role is Mumbai, Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise, Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools, Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams, Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them, Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users, Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy, Ensure all development activities are undertaken within the defined control environment, Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions, Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others, OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes, Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues, Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda, Take ownership for managing risk and strengthening controls in relation to the work done, Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy, Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively, Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience, Influence or convince stakeholders to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave,

Job Summary: Team: Model Development Associate Consultant/Consultant, is a key member of the Risk Analytics and Data Service Team and Responsible for acting as an individual contributor in the development and maintenance of AML (Anti-Money Laundering) models. The ideal candidate will act as an owner of the AML transaction monitoring framework and will use data-driven approaches to optimize model performance. Job title: Associate Consultant/Consultant Location: Bangalore/Pune Experience: 4-8 years of relevant experience Major Duties Responsible to manage, monitor, and optimize Actimize SAM models, including tuning thresholds, scenarios, and segmentation logic; Perform quantitative analysis, statistical modelling, and machine learning techniques to identify suspicious activity and reduce false positives. Collaborate with model validation and governance teams to ensure compliance with regulatory requirements Work with IT and data teams to ensure the integrity and availability of data pipelines supporting Actimize SAM and related AML systems. Support internal and external audits, regulatory reviews, and model validation documentation. Responsible for interaction with different committees and/or senior management. Qualification: Master in Statistics/ Economics/Mathematics/advanced degree in quant area Or B.tech / M.tech from tier 1 college with MBA in related field Skills Required Strong understanding Data Science and machine learning models. 3+ years of experience in banking and AML/Financial Crime Compliance, with direct experience with Actimize SAM. Strong conceptual and technical knowledge of risk concepts and quantitative modelling techniques - experience in model validation a plus Experience in R, Python, SAS. Strong organizational and interpersonal skills Excellent verbal and written communication skills (English) Experience of working in a multi-cultural and global environment

Wells Fargo is seeking a Lead Quantitative Analytics Specialist. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: Strong mathematical, statistical, analytical and computational skills Good knowledge of financial mathematics and financial models Good verbal, written, presentation and interpersonal communication skills Strong programing skills and use of software packages such as Python, C++ Eagerness to contribute collaboratively on projects and discussions Job Expectations: Performing an extensive set of tests (including model performance monitoring) to ensure that Front Office models are robust, consistent and well-behaved under current and distressed market conditions. These activities are formally part of the model development process and should not be confused with testing that is performed as part of the independent model validation process. Work with front office IT team and trading team to resolve issue related to the front office libraries used in the pricing. Writing code (Python, C++) and refactoring code and unit test cases for quant library. Maintaining proper documentation of all processes and keeping the code up to date. Compiling and presenting results in a document which will be submitted to model risk teams for review. Participating in the production of formal summary and analysis documentation and reporting. Actively participating and contributing in team discussions on project specific areas/assignments Answering ad-hoc questions from various stakeholders including US Front Office Quants, Risk, Model Governance etc. by populating templates or creating new reports/extracts as requested by stakeholders. A Masters or PhD in a quantitative field such as math, statistics, engineering, physics, economics, computer sciences, etc 5 + years of experience in similar role with relevant skillset Computer programing skills (Python, VBA, C++) Writing documents using Microsoft Office tools, LaTeX or other word processing programs Ability to learn quickly and work collaboratively within a team in a dynamic and fast paced environment with multiple responsibilities but still following strict deadlines

Job Description: Role Title: Manager, Model Risk Management (L09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~51% women diversity, 105+ people with disabilities, and ~50 veterans and veteran family members. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Synchronys Risk Team is a dynamic and innovative team dedicated to provide oversight as 2nd Line of Defense. As a member of this Team, youll play a pivotal role for high quality model validation and to ensure modeling techniques and results are consistent with the respective strategic uses, models performing as intended, and complying with related MRM policies, standards, procedures as well as regulations. This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. If you are passionate about Model validation and Modelling techniques then Synchrony s Risk team is the place to be. Role Summary/Purpose: The Manager, Model Validation is responsible for model validation focusing on statistical, Machine Learning (ML) and other models and ensure they are meeting the related Model Risk Management policies, standards, procedures as well as regulations (SR 11-7). This role requires expertise in supporting model validation initiatives related to quantitative analytic modeling with the Synchrony Model Governance and Validation team. This is an individual contributor role. Key Responsibilities: Conduct full scope model review, annual review, ongoing monitoring model performance etc. for both internally and vendor-developed models, including new and existing, statistical/ML or non-statistical models, with effective challenges to identify potentials issues Evaluate model development data quality, methodology conceptual soundness and accuracy, and conduct model performance testing including back-testing, sensitivity analysis, benchmarking, etc. and timely identify/highlight issues. Perform proper documentation within expected timeframes for effectively highlighting the findings for further review/investigation and facilitate informed discussions on key analytics. Conduct in-depth analysis of large data sets and support the review and maintenance process of relevant models and model validation documentation. Communicate technical information verbally and in writing to both technical and business team effectively. Additionally the role requires the capability to write detailed validation documents/reports for management Support in additional book of work or special projects as in when required. Required Skills/Knowledge: Bachelor s/Masters degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services or banking; in lieu of a Master s degree, 4+ years experience in model development / model validation experience in the retail section of financial services or banking. Knowledge and experience of customer facing models including fraud acquisition, transaction fraud, credit acquisition, credit account management and marketing models. Understanding of quantitative analysis methods or approaches in relation to credit risk models. Strong programing skills with 2+ years hands-on and proven experience utilizing Python, Spark , SAS, SQL, Data Lake to perform statistical analysis and manage complex or large amounts of data Desired Skills/Knowledge: 2+ years of proven experience in Model Risk Management or model development in the financial services industry including both analytic/modeling/quantitative experience and governance or other credit/financial discipline. Ability to apply analytical skills to solve problems creatively. Sharp focus on accuracy with extreme attention to detail and able to make recommendations as opportunities arise. Be self-motivated, act promptly and effectively when assigned tasks. Excellent written and oral communication and presentation skills. Eligibility Criteria: Bachelor s/Masters degree (or foreign equivalent) in Statistics, Mathematics, or Data Science and 2+ years experience in model development or model validation experience in the retail section of a U. S. financial services or banking; in lieu of a Master s degree, 4+ years experience in model development / model validation experience in the retail section of financial services or banking. Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time - 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, PIP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group: Credit

**We are looking for an AI Advisor with 10+ years of experience, based in Bangalore.** Key Responsibilities: Strategic AI Guidance : Advise the leadership and project teams on the responsible and effective integration of AI across engagements. Provide deep insights into the AI and GenAI model landscape, including open-source and commercial offerings. Assess risks related to AI implementation (e.g., bias, misuse, data privacy) and develop mitigation strategies. Model Evaluation & Use Case Realization Support model selection and evaluation for specific use cases, especially in low-resource or domain-specific contexts (e.g., agriculture, governance). Offer guidance on data strategies for model fine-tuning, including training data sufficiency, preprocessing, and adaptation. Work closely with technical teams to help translate domain needs into technical requirements, and vice versa. Help conceptualize and refine real-world use cases from ideation to implementation, including AI workflows and impact pathways. Cross-Functional Collaboration Engage with ecosystem of partners governments, development agencies, academic institutionsto drive AI thinking across projects. Communicate complex AI concepts clearly to non-technical stakeholders, enabling better alignment and decision-making. Collaborate with cross-functional teams to define requirements for AI components in DPGs and platforms. Ethical AI & Data Governance Ensure all AI solutions adhere to ethical AI principles, including fairness, transparency, explainability, and accountability. Provide strategic inputs on data governance, especially in contexts involving sensitive or multilingual datasets. Align recommendations with emerging AI regulations and standards, both global and India-specific. Qualifications & Skills: Bachelors or Masters degree in a relevant field (e.g., Computer Science, Data Science, AI, NLP, or related). 10+ years of experience in AI, consulting, or technology roles, with a strong foundation in language technology and NLP. Proven ability to evaluate and fine-tune models, especially in low-resource or emerging domain contexts. Strong understanding of AI model lifecycles, including data sourcing, model training, validation, deployment, and feedback. Excellent communication skills and experience working with multi-stakeholder environments, especially in public sector or mission-driven settings Familiarity with data privacy frameworks, ethical AI standards, and responsible AI deployment practices. Ability to think strategically, act hands-on, and operate independently in a fast-moving, collaborative environment.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy: Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.