184 Model Validation Jobs - Page 5

Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. - model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems . Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. . Training, coaching and development of team members Qualifications: . Previous experience (2+ years) in analytics, preferably in BFSI . Good knowledge in General Analytics, Fraud Analytics . Past experience in problem solving roles, strategic initiatives . Good problem-solving skills

: Job TitleSenior Risk Analyst LocationMumbai, 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 well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

: Job Title Model Validation Analyst - Derivative Pricing 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 well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 well support you 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.

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Key Responsibilities: Develop and validate AI-driven software models Annotate and evaluate code quality and software structures Provide insights into algorithms and data structures Must Required Traits: Strong academic background in Computer Science (BSc preferred) Teaching, tutoring, or content creation experience is a plus Familiarity with AI, machine learning, or data annotation is beneficial Strong analytical skills and attention to detail

Position Specific Responsibilities: The Head of Model Risk Management India is responsible for management of the MoRM department located in India. This includes the application of validation standards to model validation performed by the Model Risk Management function based in India. Strategy: Defines the people strategy for MoRM India, including management, recruiting and retention and implementation of measures to operate within relevant scorecard metrics; Agrees Book of Work applicable to MoRM India with Model Risk Managers and Global Head of Governance, Control, & Analytics. Risk Management: Oversee validation of models in scope, including (for new models and periodic review of existing models): - Specifying and implementing validation testing across, validation documentation, and validation outcomes; - Assessing whether models are performing as expected, in line with their design objectives and intended scope and purpose, and working with model developers, Senior Model Users, and Model Owners to improve models, where required; - Provision of documented decision of the appropriateness of a model for its intended purpose, advising on conditions for use, limitations, and findings where appropriate; - The issuance of Validation Findings and subsequent review for closure following model developers and Model Owners submission; Providing regular monitoring and oversight of the models in scope to enable model risk is kept within the set appetites and limits and supports model risk governance related activities; Overseeing the remediation of internal and regulatory findings relevant for the covered models areas. Operations: Oversees the management and maintenance of operations in MoRM India, including the design and implementation of its operating model and people management; Oversees the development, implementation, and maintenance of the Model Risk control framework in India to ensure both internal and regulatory compliance, delivering remediating action where gaps in the control framework are identified; Contribute to framework enhancements across the department. 3. General Responsibilities The general responsibilities set forth below apply in respect of the particular area of competence, i.e. are generally limited to the scope of the respective Unit on the one hand, and to the regional coverage of the position on the other hand. Complies and procures compliance with applicable laws and regulations, taking particular account of compliance with applicable corporate and banking laws and regulations as well as compliance with anti-money laundering, anti-corruption, anti-fraud and anti-market manipulation rules, embargo requirements and any other rules aiming at preventing any kind of other criminal activities as well as data protection, confidentiality and (non-)disclosure requirements. Fulfils all obligations towards supervisory authorities and accredited investigators, including any due notifications and any requirements on submission of information. Complies and endorses compliance with DB Groups internal rules in general. Defines and ensures effective implementation of relevant strategies within defined Risk Appetite and Tolerance, ensuring that the Units strategy is in line with DBs Group risk strategy and monitors deliverables and performance targets. Ensures the implementation of Policies and Procedures by and within the Unit. Acts as escalation channel, being accountable for dispute resolution and for overseeing disciplinary processes. Ensures the Units proper and transparent organisation along the core organisational requirements as laid out in DBs Internal Corporate Governance Policy, and in particular also taking account of applicable segregation requirements and avoiding/ addressing conflicts of interest. Manages risks and oversees controls in respect of risk types which fall within the remit of the Unit by way of implementing and maintaining an adequate and effective risk management, including identification, assessment and management (incl. control, monitoring and reporting) of risks. Represents the Unit towards internal/ external stakeholders; maintains and fosters internal and external key (business) relationships. Ensures the remediation of issues and is accountable for delivery of Units remediation actions. Drives collaboration and trust-based relationships both within the Unit as well as across Units. 4. Responsibilities in the matrix Ensures proper information flow to all dimensions of the matrix (Unit, country and entity) and notifies in a timely manner the appropriate representative(s) of these dimensions on (intended) actions or decisions which may have a material impact on their operations. Involves Country Management in the decision-making processes, to the extent the respective decisions have a material impact on the respective country and in line with need to know and further confidentiality/ information restriction requirements. 5. Leadership Responsibilities Sets clear direction for the team in line with overall business strategy balancing both global and regional priorities. Manages performance systemically by considering delivery, behaviour and conduct in equal measure, setting and communicating clear role expectations and qualitative and quantitative priorities, promoting individual accountability and removing impediments to success. Ensures team members have regular and meaningful performance and career development discussions giving and listening to feedback. Holds direct reports accountable for systems, processes and control management practices which are efficient, cost-effective and in line with Bank standards and regulatory expectations. Ensures team decision-making processes are timely and place precedence on long-term considerations and client needs over the short term. Ensures each direct report has sufficient time and skills to perform the correspondent role and proactively manages and mitigates potential conflicts of interests. Proactively manages performance and business practices to ensure alignment with the Bank's goals, values and code of conduct and is clear on how to take action to ensure appropriate positive outcomes and negative consequences for individual employees. Builds capability for the future by prioritizing succession planning, continuous development of people and the mobility of high potentials within the team. Brings diverse teams together to collaborate on topics to achieve optimal ideas and recommendations. Creates an inclusive, open and speak up culture where team members are encouraged to express views and raise concerns. Acts as an escalation channel for the Group's benefit by ensuring matters are referred to the appropriate function within the Bank (i.e. HR, Compliance, AFC, Legal).

Join us as a "Quant Analytics Wholesale Credit Risk Modeller ? at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences You will be responsible for developing best in class credit risk 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 successful as a Quant Analytics Wholesale Credit Risk Modeller you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc ) Preferable language is Python, C/C++ You must have knowledge of the following in Credit Risk (Pillar 1 Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), Experience in IFRS9/CECL/ CCAR can also be considered You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book) This role is based out of 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

: In Scope of Position based Promotions (INTERNAL only) Job Title- Associate - Market Risk Control Location- Mumbai, India Role Description Market Valuation and Risk Management (MVRM) is responsible for managing market risk and ensuring fair value assessment of Books & Records within Deutsche Bank. The primary market risk objective is to ensure that business units of the bank optimize the risk-reward relationship and do not expose it to unacceptable losses. We work closely with risk takers, risk managers and control and support groups in the process to ensure these objectives can be met. Market Data Strategy and Analytics (MDSA) is a function within MVRM that is responsible and accountable for the procurement, analysis and governance of historical market data used as inputs in the key risk metric (eg Value at Risk, Economic Capital, Credit Counterparty Risk, Portfolio Stress Test). The core mandate of the team is split in three main groups: RtB operations, Governance and OptimizationKey responsibilities include procurement of historical market data, perform data quality checks and remediation where required, generation of market data (DB Analytics) objects, Exposure Info and Pricing Info objects for Historical Simulation Full Revaluation, production of key KPIs & governance, optimization of existing processes, face off to regulatory and audit engagements. Market Data AnalyticsKey responsibilities include development of proxy methodologies where historical data does not exist (including new risk factors introduced as a result of IBOR migration), development of approaches for enhanced data quality assessment, specify business requirements for FRTB from a market data perspective (including interplay of ES, NMRF & RTPL), develop analytics supporting gap filling in historical time series and forecasting trends Market Data StrategyKey responsibilities include driving discussions between FO, IT and MDSA to define the target market data strategy, both from an architectural and functional perspective, Streamline various market data tools/applications in strategic infrastructure and drive the build out of a central market data utility for multiple users/models, ensure data alignment between FO/GVG and Risk, search for synergies with GVG and FO to drive cost efficiency What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Creating, implementing and documenting quantitative risk models and enhancements for accurate market risk capture in risk models Driving discussions and defining requirements with Strats, Risk Methodology and IT for generation of historical time-series for more exotic risk factors Providing quantitative and qualitative justifications for modelling choices, assumptions made, data selection, reliability of model inputs such market data Validating model choices by theoretical proof and support them with empirical evidence (e.g. statistical analysis of historical market data or back-testing) Recalibration of model parameters which are used in the internal risk and capital models for market risk, in particular for Value-at-Risk models Develop reports or analytical tools to facilitate robust testing process, including automation in order to drive down costs and improve process. Business & Functional testing skillsability to write runbooks; Ability to present the results data and any variances clearly to Risk Managers Ensuring production stability and responding to queries on timeseries from market risk managers Your skills and experience Engineering, Economics, Statistics or other numerate discipline with excellent project experience and grades in quantitative and numerical coursework Excellent quantitative and analytical abilities as demonstrated by grades in mathematics/physics/statistics/engineering mathematics, Knowledge of financial pricing models, risk models would be desirable Good high level programming skills for ex. Matlab, Python and experience in numerical coding is good to have Education | Certification (Recommended): Engineering or bachelors degree in finance from an accredited college or university with excellent project experience and grades in quantitative and numerical coursework. Certification in Financial Risk Management will be a plus. Business Competencies: Communication - Experienced Industry Knowledge - Experienced Risk Management Basic Innovation Basic Managing Complexity - Basic Technical Competencies: Risk Management Experienced Financial Product Knowledge - Experienced How well support you

Model Monitoring/Model Validation EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning methodologies, that integrate advanced analytics, data management, digital, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 30,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Home EXL Service is a global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others Role Details : We are seeking a strong credit risk model professional with experience in model monitoring, validation, implementation and maintenance of regulatory models. Responsibilities: Helping with various aspects of model validation Perform all required tests (e.g. model performance, sensitivity, back-testing, etc.) Interact with model governance team on model build and model monitoring Work closely with cross functional teams including business stakeholders, model validation and governance teams Deliver high quality client services, including model documentations, within expected timeframes Requirements : Minimum 2+ years of experience in executing end to end monitoring/validation/production/implementation of risk model validation/monitoring understanding with respect to marketing/general analytics problems Managing assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Training, coaching and development of team members Qualifications: Previous experience (2+ years) in analytics, preferably in BFSI Good knowledge in General Analytics, Fraud Analytics Past experience in problem solving roles, strategic initiatives Good problem-solving skills

Company: Oliver Wyman Description: Job Title Actuarial Consultant Life Years of experience 6-10 years Office/Regions available: Bengaluru, Gurugram As an Actuarial Consultant , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability Management. M&A, and Strategic Reinsurance efforts Actuarial model conversions and optimization Perform Actuarial model testing and validation Attending client and industry presentations, surveys, case studies and marketing support Development and maintenance of intellectual capital Qualifications and Desired Skills Bachelors or Masters degree, preferably in Actuarial Science, Mathematics, Statistics, Finance or a related field Qualified or nearly qualified from SOA/IFoA/IAI Track record of and desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Ability to work independently and direct junior staff Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Strong skills with MS Excel, MS Access or other database software, with VBA or other programming languages experience Experience in Moodys AXIS or FIS Prophet or similar Actuarial platforms is required Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

: In Scope of Position based Promotions (INTERNAL only) Job Title- MoRM Risk and CapitalModel Validatior, AS 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; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Model Risk related policies. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities You will be responsible for the timely and high-quality delivery of validation reports for all Risk and Capital Models developed for Credit Risk. Develop and set state-of-the-art validation approaches and standards adhering to current and upcoming regulatory requirements. Ensure implementation of these standards in particular through review and pre-approval of validation reports. Present and defend work in internal committees. Pro-actively engage in management of Model Risk to assure Model Risk requirements. Additionally, support, coach and guide new and established team members and closely engage with stakeholders from Risk, Finance, IT and Business. Your skills and experience Masters in Statistics / Mathematics / Quantitative Economics / Quantitative Finance or MBA Finance Professional experience 2-7 yrs in quantitative Credit risk model development or validation is a requirement Perennial professional experience in financial risk management in general with a strong IT affinity Extensive knowledge with relevant statistical and other software packages and programming languages (e.g. SAS, R, SQL, Python) Pronounced conceptual and analytical skills and excellent project management Proven ability to solve problems independently, to show flexibility and to act proactively Business fluent written and verbal skills in English How well support you

: Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP 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 well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 includingFront 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 Python an advantage. 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 well support you 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.

: 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 well offer you : 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance 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 well support you . . . 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.

: Job Title Portfolio Models and Alpha Model Validation Specialist, Associate LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the Portfolio Models and Alpha validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture wrong way risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Independent validation of models and model changes Performance of quantitative analyses including presentation to relevant committees as well as internal and external auditors Enhancement of existing validation concepts Ensure adherence to model risk standards like SR11-07 Your skills and experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in layman's terms Professional experience 2-7 yrs in Operational risk and Portfolio Risk model development or validation are a requirement Excellent mathematical abilities and an understanding of Linear Algebra, Calculus, Partial Differential Equations, Monte-Carlo Methods, Historical Simulation Methods, finite difference methods and numerical algorithms, statistics, or mathematical finance. Proficient use of programming languages (Python, Matlab, R, C++,) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How well support you 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.

: Job TitleTreasury Model Validation Specialist Corporate TitleAssistant Vice President LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for the management of model risk in DB Group. This includes the independent validation of risk models as well as the identification, monitoring & controlling of model risk. Our aim is to identify, aggregate, manage and mitigate model risk across all risk types (market, credit, liquidity, operational and business risk). MoRM is located in Frankfurt, London, New York, Berlin, Bonn and Mumbai. For our team Treasury Model Validation, being responsible for the validation of all models owned by Deutsche Bank Treasury and legal entities like BHW, which includes IRRBB (Interest Rate Risk in the Banking Book) and liquidity risk models, we are looking for a model validation specialist located in Mumbai. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Challenge, analyse, test, and independently validate mathematical and statistical risk models used by DB Treasury (mainly interest rate risk and liquidity models). Design and implementation of challenger models. Creation of validation reports and communication of validation results in various fora. Collaborating in the development and maintenance of an internal Python library to improve the efficiency of testing and documentation. Engaging with the due diligence aspects of the New Product Approval Process, and oversight of model governance for Treasury products. Your skills and experience Graduate degree in mathematics or mathematical finance, statistics, physics, or a comparable education or equivalent qualification (PhD or equivalent is not required but would be beneficial). At least 3 years of experience for AVP in model validation, other quantitative risk management role or Front Office quantitative discipline or experience in academic research. Strong understanding in financial markets (especially of risk management models, methodologies, and regulations for banking book), demonstrated by qualifications and experience. Prior experience with Interest Rate Risk / Liquidity risk will be very useful. Strong analytical skills & proven ability to structure and solve problems independently. Experience with programming languages and using related tools (e.g. Python, LaTeX). The ability to explain complex mathematical concepts and results to stakeholders. Self-motivated and solution-oriented team player. Excellent written and verbal skills in English. How well support you . . . . 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.

: Job TitleSenior Risk Manager - Model Validation (AI/ML Models) Corporate TitleVP LocationMumbai, India Role Description DWS Group (DWS) is one of the world's leading asset managers with EUR 841bn of assets under management (as of 31 March 2023). Building on more than 60 years of experience, it has a reputation for excellence in Germany, Europe, the Americas and Asia. DWS is recognised by clients globally as a trusted source for integrated investment solutions, stability and innovation across a full spectrum of investment disciplines. We offer individuals and institutions access to our strong investment capabilities across all major asset classes and solutions aligned to growth trends. Our diverse expertise in Active, Passive and Alternatives asset management as well as our deep environmental, social and governance focus complement each other when creating targeted solutions for our clients. Our expertise and on-the-ground-knowledge of our economists, research analysts and investment professionals are brought together in one consistent global CIO View, which guides our investment approach strategically. The Risk platform is the independent risk oversight function of DWS. Model Risk is part of the Risk function and is designed to provide governance and control to manage a variety of models used in the Firm and associated risks. The Model Risk team works as a global organization with team members in New York, London and Frankfurt with a focus around validating, testing and overseeing the usage of models related to Corporate Risk (liquidity/economic capital) and Investment Risk for Liquid and Illiquid investment strategies. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Leading the delivery of the validation Book of Work for all Artificial Intelligence (AI) and Machine Learning (ML) models across the organization Conducting model validations on the DWS models, both in-house and vendor models, based on regulatory guidance, internal policy and procedures and best industry practice and communicate findings and recommendations to model owners and prepare the model validation reports Working closely with Investment teams on topics including model assumptions and limitations to ensure models remain fit for purpose Participating in independent model reviews on complex topics in accordance with business needs and regulatory requirements Review ongoing model monitoring reports, identify potential model risk and document the findings to key stakeholders while evaluating the corrective actions Assist in building benchmark models used across the model validation team, design backtesting or other methodologies to test the conceptual soundness of model assumptions We are looking for: Proven experience in the field of Quantitative Risk Management associated to AI and ML Experience of AI and ML model development from across the Investments, Consulting or Banking industry with an understanding of concepts associated to validating or developing risk models Strong quantitative skills utilising at least one of Python or C++ Good understanding of valuation methods, capital markets, portfolio theory and risk management Excellent verbal and written communications skills -- previous experience of writing either technical documentation related to model validation or development or independent peer-reviewed research articles Educated to post-graduate degree level in a quantitative field such physics, mathematics, statistics, economics or engineering, or with relevant industry experience / professional qualification How well support you . . . . About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm

Job Title: Data Scientist Location: Bangalore Type: Full-time (On-site) Experience: 3-6 years About the Role: We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes. You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making. Key Responsibilities: Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns. Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns. Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics. Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation. Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives. Automate data pipelines and model outputs to deliver real-time performance tracking and insights. Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders. Qualifications: 3-6 years of experience in data science, marketing analytics, or customer journey analysis. Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models. Experience with machine learning approaches for classification, segmentation, and recommendation. Solid grasp of digital marketing ecosystems and user engagement metrics. Hands-on experience with experimentation design, A/B testing, and lift analysis. Excellent problem-solving and communication skills with a strong product and data-driven mindset.

Role & responsibilities Develop, support, and enhance statistical models to predict the risk of credit downgrade and default. Apply expertise in Fixed Income / Credit Risk, including Probability of Default (PD), Loss Given Default (LGD), and other credit risk measures. Analyse and interpret financial instruments, derivatives, and portfolio management principles to improve risk assessment. Utilize Python, SQL, and Excel to work on large datasets, extract insights, and automate data processing workflows. Develop automated processes and tools to improve efficiency and accuracy in data production and risk modelling. Lead Bottom-Up Data Production processes, ensuring effective planning, monitoring, and timely completion of deliverables. Collaborate with key stakeholders including Deal Teams, Execution, Technology, and Risk Reporting to enhance the Quant Credit Infrastructure. Utilize SQL to extract and manipulate data from large-scale databases, ensuring data integrity and accuracy. Manage and optimize project workflows using Asana/JIRA and other project management tools. Preferred candidate profile 5+ years of experience in a project/process management team within the finance domain. Strong knowledge of corporate accounting concepts and financial reporting. Solid understanding of credit risk concepts and downgrade risk assessment. Advanced proficiency in Microsoft Office (Excel, PowerPoint); VBA is a plus. Proven ability to implement Spreading Policy in corporate financials, particularly in SIP and Direct Lending. Strong organizational and analytical problem-solving skills. High attention to detail and persistence in ensuring data quality. Ability to work autonomously with minimal supervision. Intermediate/Advanced SQL skills for database management and data extraction. Python proficiency for automation and model development. Experience in project management tools like Asana, JIRA. Strong academic background with a business-related degree (MBA preferred) CFA certification is a plus.

locationsPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0004722 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.

Quantitative development to implement and optimize algorithms for asset pricing, risk management, and trading strategies and migrate analytics from c++ to Python Writes secure and high-quality code using Python or C++ with limited guidance Required Candidate profile 3+ years of Python, C++ Quantitative finance background with strong experience in bonds Experience with calculating Risk or Pricing of asset classes

Join Our Team: Model Risk Management Financial Crime Analytics At Deloitte , our Model Risk Management (MRM) practice helps clients navigate the complex landscape of model risk across financial crime, regulatory compliance, and advanced analytics. Our team consists of top-tier professionals with backgrounds in Statistics, Mathematics, Physics, Finance, Financial Engineering, and PhDs in quantitative disciplines . We specialize in qualitative assessments and quantitative modeling across Market Risk, Credit Risk, Operational Risk, Liquidity Risk, and Fraud Risk aligned with key regulatory standards such as CCAR/Stress Testing, Basel II.5/III, CRD IV/CRR . We also work on the valuation of complex derivatives and structured products , leveraging our deep expertise in quantitative modeling and data analytics. What You’ll Do In this role, you'll contribute to cutting-edge financial crime risk initiatives and support leading global banks in strengthening their risk modeling frameworks. Key Responsibilities: Develop and maintain Financial Crime models , including AML Feeder Models and Sanction Screening Models, using statistical methods and robust documentation practices. Tackle complex data analytics problems in risk management and deliver actionable insights to enhance risk tools. Apply deep quantitative and conceptual expertise to design, validate, and enhance risk models aligned with banking regulatory standards. Use programming tools such as Python, R, SAS, and SQL for model development and deployment. Translate complex modeling concepts into simple language for diverse stakeholders — from executives to technical experts. Create technical documentation , model validation reports, and regulatory submissions. Required Skills & Experience Sound understanding of statistical and mathematical concepts : regression, classification, time series, hypothesis testing, distribution analysis, A/B testing, performance monitoring, etc. Hands-on experience with AI/ML techniques : ANN, Decision Trees, Ensemble Methods (e.g., XGBoost). Experience with vendor-based AML systems and models (e.g., Event Processor Next Gen, Quantifind, Customer Risk Assessment). Expertise in Financial Crime Case Generation Analytics . Proficient in R, Python, SAS, SQL , with experience deploying models into production and performing data calibration. Understanding of AML and sanction screening regulatory frameworks. Strong skills in technical writing , executive reporting, and stakeholder communication. Exceptional time management and multitasking ability in a dynamic, global work environment. Flexibility to work with US/UK counterparts during extended or overlapping shifts. Preferred Skills Solid data science foundation with an understanding of end-to-end data pipelines and model lifecycles. Experience working in a banking or consulting environment , ideally on financial crime or risk analytics projects. Qualifications Bachelor’s , Master’s , or Ph.D. in a relevant quantitative field (e.g., Statistics, Mathematics, Financial Engineering, Computer Science, or related disciplines).

About the Role The candidate should have masters degree in Statistics, Econometrics, or a related quantitative field. Proven experience in Risk Modelling/Model validation and proficiency with statistical modeling software (R’ & SAS) is desired. Key Responsibilities Model Risk specialist, in close collaboration with Risk Audit team members will execute audits and other model risk audit related activities to ensure efficient and high quality audit execution for critical models in use at the Bank. The internal audit role would include the following as part of the day-to-day job: Audit of model development and validation process within the Bank. Updating risk and control matrix and checklist for audits being undertaken. Undertaking detailed walkthrough of the processes being audited and develop data request for the audit Updating of internal audit MIS with the status of audit observations and other actionable emanating to the audit department Assisting in making presentations to senior management and audit committee on the audits undertaken and performance of internal audits Provide necessary support in automating tests used in audit execution for achieving Continuous Control Monitoring (CCM) Qualifications Optimal qualification for success on the job is: • Knowledge of SR 11-7 guidelines and its implementation for the model governance • Experience in development and validation of statistical models in use across banks, primarily for the purpose of Credit underwriting and measurement & management of Credit Risk, Market & ALM Risk, ICAAP & Stress testing etc. • Previous work experience in Risk Analytics or Model Risk team of a bank or Risk advisory team of leading consulting firm with majority of time allocated on developing or validating statistical/econometric models • Proficiency in statistical modeling software ‘R’, Python, SAS & SQL is an added advantage • Excellent written and verbal communication skills Role Proficiencies: For successful execution of the job, a candidate should possess the- Knowledge of relevant Audit Systems Good communication (both verbal & written) and inter-personal skills Strong Excel and database manipulation skills, financial and statistical analysis skills) Ability to manage risk and uncertainty for self and team within a dynamic priority-setting environment Ability to prioritize and make decisions in a fast-paced environment Ability to manage multiple tasks/projects and deadlines simultaneously

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 Assistant Manager/Manager/Sr. Manager, Model Validation In this role, you will be responsible for model development, implementation & documentation Responsibilities You will be working with the independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models across business functions, and development of challenger models as necessary. Your activities will include, but will not be limited to 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&rsquos use, methodology, assumptions, limitations and on-going monitoring and control, model&rsquos outcome analysis . Development of benchmark models may be required. . Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques . Prepare model validation report summarizing findings and provide recommendations Qualifications we seek in you! Minimum Qualifications / Skills . Post-graduate degree / diploma in any of Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 . Undergraduate degree in Engineering from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 . Relevant experience in Banking or Capital Markets, with experience in market risk model validation. . Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines - SR 11-7, FRTB, Stress Testing, Basel III IMA, CAR: Chapter 9,etc. . Exposure to any treasury system such as Murex, Calypso etc. or market data providers such as Bloomberg and Reuters. . Knowledge of VaR, Expected Shortfall or Counterparty Credit Risk modelling. . Knowledge of product valuation in any of Fixed Income or Derivatives . Knowledge of stochastic models such as Black Scholes, Hull & White, SABR etc) will be added advantage. . Working knowledge of Excel, Python/R in this field. . Good communication/presentation skills - written & verbal . Self-driven, proactive, &ldquocan-do attitude. Ability to work under ambiguity and with minimal supervision Preferred Qualifications/ Skills . Strong networking, negotiation and influencing skills . Some understanding and experience in at least one of the regulatory risk modeling/validation guidelines - SR 11-7, FRTB etc 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.

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 Assistant Manager/Manager/Sr. Manager, Model Validation In this role, you will be responsible for model development, implementation & documentation Responsibilities You will be working with the independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models across business functions, and development of challenger models as necessary. Your activities will include, but will not be limited to 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&rsquos use, methodology, assumptions, limitations and on-going monitoring and control, model&rsquos outcome analysis . Development of benchmark models may be required. . Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques . Prepare model validation report summarizing findings and provide recommendations Qualifications we seek in you! Minimum Qualifications / Skills . Post-graduate degree / diploma in any of Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 . Undergraduate degree in Engineering from reputed institutes with courses in Financial Engineering or FRM / CQF Level 1 . Relevant experience in Banking or Capital Markets, with experience in market risk model validation. . Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines - SR 11-7, FRTB, Stress Testing, Basel III IMA, CAR: Chapter 9,etc. . Exposure to any treasury system such as Murex, Calypso etc. or market data providers such as Bloomberg and Reuters. . Knowledge of VaR, Expected Shortfall or Counterparty Credit Risk modelling. . Knowledge of product valuation in any of Fixed Income or Derivatives . Knowledge of stochastic models such as Black Scholes, Hull & White, SABR etc) will be added advantage. . Working knowledge of Excel, Python/R in this field. . Good communication/presentation skills - written & verbal . Self-driven, proactive, &ldquocan-do attitude. Ability to work under ambiguity and with minimal supervision Preferred Qualifications/ Skills . Strong networking, negotiation and influencing skills . Some understanding and experience in at least one of the regulatory risk modeling/validation guidelines - SR 11-7, FRTB etc 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 %27starter kit,%27 paying to apply, or purchasing equipment or training.