33 Model Risk Jobs

Job Title: AI Change Model Risk Manager Years of Experience: 5-9 Years Location: Bangalore (23 days onsite per week) Role Overview: A leading global financial institution is seeking a forward-thinking and detail-oriented AI Change Model Risk Manager to oversee the governance and risk management of AI and machine learning models within its Markets and Securities Services (MSS) division. In this role, you will be responsible for managing risks related to AI/ML model changes, ensuring compliance with regulatory expectations such as PRA SS1/23, SR11-7, and CRD IV, while supporting end-to-end delivery from proof of concept to production. You will also collaborate with data scientists, quants, model risk teams, and senior stakeholders to drive robust AI governance frameworks. Key Responsibilities: Design and implement governance frameworks for managing AI/ML model changes, including documentation, impact assessment, version control, and triggers. Conduct model risk assessments covering areas like data drift, performance shifts, algorithm changes, and infrastructure updates. Participate in AI change advisory boards and model risk governance forums. Support ongoing regulatory remediation initiatives and ensure alignment with industry standards. Create performance dashboards, KPIs, and Management Information (MI) for senior leadership and risk committees. Guide cross-functional teams through the model deployment lifecycle, ensuring compliance and documentation readiness. Assist in model documentation, change management processes, and completion of governance requirements across AI initiatives. Stay current with regulatory developments, best practices, and emerging risks in AI and ML. Qualifications & Skills: 59 years of relevant experience in AI model governance, credit risk, model risk management & change/project management. Strong knowledge of regulatory frameworks like SR11-7, SS1/23, or CRD IV. Experience with IFRS 9, PIT PD, LGD model enhancement, or credit risk modelling is highly desirable. Familiarity with AI/ML model development and performance monitoring. Strong analytical skills, attention to detail, and the ability to manage multiple deliverables. Excellent communication and stakeholder engagement abilities. Prior experience with Python is desirable. Academic background in Data Science, AI, Risk Management, Finance, or related field; certifications or online courses are a plus. If interested, please share your resume to sunidhi.manhas@portraypeople.com

Role Overview: A leading global financial institution is seeking a forward-thinking and detail-oriented AI Change Model Risk Manager to oversee the governance and risk management of AI and machine learning models within its Markets and Securities Services (MSS) division. In this role, you will be responsible for managing risks related to AI/ML model changes, ensuring compliance with regulatory expectations such as PRA SS1/23, SR11-7, and CRD IV, while supporting end-to-end delivery from proof of concept to production. You will also collaborate with data scientists, quants, model risk teams, and senior stakeholders to drive robust AI governance frameworks. Key Responsibilities: Design and implement governance frameworks for managing AI/ML model changes, including documentation, impact assessment, version control, and triggers. Conduct model risk assessments covering areas like data drift, performance shifts, algorithm changes, and infrastructure updates. Participate in AI change advisory boards and model risk governance forums. Support ongoing regulatory remediation initiatives and ensure alignment with industry standards. Create performance dashboards, KPIs, and Management Information (MI) for senior leadership and risk committees. Guide cross-functional teams through the model deployment lifecycle, ensuring compliance and documentation readiness. Assist in model documentation, change management processes, and completion of governance requirements across AI initiatives. Stay current with regulatory developments, best practices, and emerging risks in AI and ML. Qualifications & Skills: 59 years of relevant experience in AI model governance, credit risk, model risk management, or change/project management. Strong knowledge of regulatory frameworks like SR11-7, SS1/23, or CRD IV. Experience with IFRS 9, PIT PD, LGD model enhancement, or credit risk modelling is highly desirable. Familiarity with AI/ML model development and performance monitoring. Strong analytical skills, attention to detail, and the ability to manage multiple deliverables. Excellent communication and stakeholder engagement abilities. Prior experience with Python is desirable. Academic background in Data Science, AI, Risk Management, Finance, or related field; certifications or online courses are a plus.

Key Qualifications: Proven experience as a Business Analyst in Capital Markets and Finance domains. Preferred experience in Model Risk and Operational Risk areas. Technical & Methodology Skills: Strong understanding and hands-on experience with Agile methodologies. Basic knowledge of SQL ability to query and analyze data at a foundational level. Core Responsibilities: Engage with business users and stakeholders to gather, analyze, and groom requirements. Create Functional Requirement Documents (FRDs) and other supporting documentation. Develop and maintain user stories with clearly defined functional acceptance criteria. Coordinate and assist users during User Acceptance Testing (UAT) phases. Act as a liaison between business and development teams to provide clarifications and resolve requirement-related queries. Interact effectively with senior stakeholders and communicate project updates or blockers in a timely manner. Certifications (Preferred): IIBA - Certified Business Analysis Professional Mandatory Competencies BA - BA - Requirement Gathering BA - SQL Domain Areas - FS Domain - Capital Markets BA - Create Specifications BRD/ FRD Beh - Communication and collaboration Agile - Agile - SCRUM

: Job Title DWS Risk Manager - Investment Risk Models, AVP 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. This includes the regular monitoring, analysis, and reporting of risk to portfolio management and DWS management boards. 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 Develop, test, and document both in-house and vendor-provided models for DWS Design and implement compensating controls to address identified model weaknesses Maintain and enhance existing risk models to deliver high-quality analytics and insights for the Investment and Product Divisions Coordinate and document model development activities, including new releases and updates, in collaboration with model vendors and key stakeholders such as the Investment Divisions and Model Validation team Contribute to the development and continuous improvement of the Model Risk Program for Investment Risk in liquid products, including the creation of global processes and procedures to ensure robust model risk governance Your skills and experience Masters degree in mathematics, Statistics, Quantitative Finance, Physics, or a related field; PhD is a plus Minimum of 5 years of proven experience in the financial industry, ideally in Model Development, Model Validation, Valuation, Risk Management, or Portfolio Management Demonstrated expertise in developing and applying analytical models for financial instruments Familiarity with regulatory frameworks related to model risk in the asset management industry is a plus Strong understanding of liquidity risk models as well as market risk models such as Value at Risk (VaR) and Stress Testing Proficient in programming languages such as Python, MATLAB, or R, and experienced with databases (SQL) Prior experience with BlackRock Solutions Aladdin is preferred Excellent verbal and written communication skills, with the ability to proactively and effectively communicate with management Proactive mindset with a focus on process improvement and innovative solution development Strong organizational skills and the ability to manage multiple priorities effectively 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 TitleDWS Risk Manager, AVP LocationBangalore, India Role description DWS Group (DWS) is one of the world's leading asset managers with some EUR of assets under management (as of 30 June 2022). 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: 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. Carry out 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 back testing or other methodologies to test the conceptual soundness of model assumptions. Your skills and experience: Previous quantitative risk management, model validation or model development experience from across the Investments, Consulting or Banking industry with sound experience of validating or developing valuation or risk models across asset classes such as FX, Rates and Equities Strong quantitative skills across programming languages such as R, SQL, C++, SAS, Python, MATLAB. Expertise in at least one of Python or C++ is essential. 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 We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

: In Scope of Position based Promotions (INTERNAL only) Job Title Senior Analyst, MoRM (DIPL) 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; Effectively managing and mitigating Model Risks; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. 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 Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. 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 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python Candidate needs to have experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. 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. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations 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.

: In Scope of Position based Promotions (INTERNAL only) Job Title Senior Analyst, MoRM (DIPL) Corporate TitleAVP 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; Effectively managing and mitigating Model Risks; Supporting the design of Model Risk metrics; Implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies and practices. 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 Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important and incumbent to have an understanding of different aspects of banks business within different business segments of Corporate Banking, Private Banking, Investment banking. 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 2-3 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate should possess knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python Candidate needs to have experience of report drafting reports and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. 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. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, supporting framework development, designing presentations will be a plus for the role. How well support you . . .

Requirement :- - Strong experience and practical in-depth understanding of Credit risk model development/validation methodologies and procedures. - Strong quantitative background in Applied Statistics/Mathematics/Operations Research/ Economics /Engineering / or related quantitative field. - Strong work experience and practical understanding of at least one or more of the following regulatory regimes: US (FRB/OCC), UK (PRA/ECB), CBUAE (MENA), RBI (India), MAS (Singapore), HKMA (Hong Kong). - Strong work experience and/or in-depth practical understanding of Credit Risk models PD (Probability of Default), EAD (Exposure in Default), LGD (Loss Given Default) models from either model development or model validation standpoint. - Sound work experience and good practical understanding of Statistical modeling techniques of Linear Regression, Logistic Regression; Machine learning approaches of Gradient Boosting (GBM), XGboost (Extreme Gradient Boosting), Cat-Boosting, and Random Forest. Time Series modeling knowledge approaches – ARIMA, ARIMAX would be added plus. - Highly proficient in statistical tools/ programming languages (viz. Python, SAS, SQL, R). - Strong Experience with data analysis, data visualization, and data mining techniques. - High quality Report writing skills from either Model Development or Model Validation perspective factoring the regional regulatory guidelines/framework and Standard Operating Procedures. - Strong Critical reasoning skills and analytical capabilities for analyzing models and related modeling/Financial products analysis & exercises. - Adept in Stakeholder Management and excellent in Oral and written communication skills as well as interpersonal skills. - Sound Time management and Multitasking skills. Responsibilities :- - In-depth and End to End Validation of Credit risk models using both classical statistical techniques and machine learning approaches. Models span various Businesses of the Bank including Consumer Finance, Personal loans, Mortgages, Micro-Finance, Small Business Banking, Credit Cards, Corporate Banking, etc. and include both Acquisition and Behavioral score cards as well. - Collect and analyze large datasets to calibrate and validate credit risk models. - Evaluate the creditworthiness of Clients/Businesses and predict potential losses. - Collaborate with cross-functional teams – FLoD (Model Developers, Model Owners, Risk, Businesses), Bureau teams, etc. to opine on the utility of the credit risk models in business decision-making processes. - Staying up-to-date with Banking industry trends and Global/Regional as well as Local regulatory requirements.

Roles and Responsibilities Develop and implement data governance frameworks, policies, and procedures to ensure compliance with regulatory requirements. Collaborate with stakeholders to identify business needs and develop solutions that meet those needs while ensuring data quality and integrity. Design and maintain databases using SQL to support reporting, analysis, and decision-making across the organization. Provide expert guidance on data management best practices, including data governance analytics, risk reporting, model risk assessment, and regulatory reporting. Ensure effective communication of complex technical concepts to non-technical stakeholders through clear documentation and presentations. Desired Candidate Profile 5-10 years of experience in a similar role within an investment banking/venture capital/private equity firm or related industry. Strong understanding of Basel II/III regulations and their impact on financial institutions' operations. Proficiency in CAR/CCAr/IFRS9/IFRS17 standards for regulatory reporting purposes. Experience working with large datasets using SQL; ability to design efficient queries for extracting insights from complex datasets.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

: 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.

About the Role As a Quantitative Analyst within ANZ Market Risk, your role is to support the Markets business to meets its growth aspirations and its regulatory obligations through the validation of valuation and risk models across Traded and Non-Traded Market Risk and Counterparty Credit Risk You will act as a subject matter expert to a range of stakeholders across Markets Risk and the wider Markets Business to maximise the flow of technical and practical knowledge within the group Banking is changing and were changing with it, giving our people great opportunities to try new things, learn and grow Whatever your role at ANZ, youll be building your future, while helping to build ours Role Type: Permanent Role Location: Manyata Tech Park, Bengaluru What will your day look like As an Quantitative Analyst, you are accountable for : Design, model, develop and maintain independent market risk benchmark models Provide effective challenge to model assumptions, mathematical formulation and implementation Assess and quantify model risk due to model limitations and determine mitigating factors and controls Provide support for development and maintenance of Markets Risk measurement systems and associated processes Proactively remediate outstanding risk methodology issues including participation in risk methodology discussions with Technology teams and model developers (inclusive of third-party vendors) Provide proactive quantitative risk support to Front Office, Markets Risk product managers, Markets Finance, Treasury and Banking Book Maintain relationships with Risk Managers to maximise the flow of technical and practical knowledge within the Group Provide excellent key Stakeholder Management of internal & external stakeholders Anticipate issues & influence decisions, negotiate outcomes and communicate them in an effective and timely manner; proactively identify project management issues affecting delivery and suggest solutions Establish a reputation for credibility, integrity and technical excellence of the team as a whole with stakeholders Assist in the provision of quantitative outcomes required to achieve excellent audit outcomes; prepare audit documentation on quantitative issues & explicit role in liaising with auditors as a quantitative SME as required Establish a good working culture (open, collaborative & efficient) in any small groups you are part of Be seen as a role model within and outside the validation team Help embed a great risk culture in ANZ Ensure all initiatives are undertaken in accordance with established risk and compliance principles and policies What will you bring To grow and be successful in this role, you will ideally bring the following: Experience in Financial Markets across multiple asset classes Experience in Market Risk in a quantitative role w/in Front Office or Risk Sound knowledge of Financial Mathematics including derivatives products such as Interest Rate Derivatives, Foreign Exchange Options and Equity/Commodity derivatives Expertise in C/C++ and Python Experience in financial mathematics, quantitative models such as Hull-White, LGM, Libor Market Model, Stochastic Local Vol etc Ability to communicate regulations, policies and procedures concepts to a wide variety of staff Educational Qualification E Youre not expected to have 100% of these skills At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, wed love to hear from you So Why Join Us From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive But it's not just our customers who'll feel your impact you'll feel it too Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career We're a diverse bunch at ANZ in different roles, different locations, doing different things That's why we have a range of flexible working arrangements, so our people can 'make work, work for them' We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated That's because we're committed to building a workplace that reflects the diversity of the communities we serve We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support To find out more about working at ANZ, visit https://www anz com au/careers You can apply for this role by visiting ANZ Careers and searching for reference number 97559

: 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 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 Title CRO Wealth ManagementPre-Deal Analyst Corporate TitleAssociate LocationMumbai, India Role Description About Chief Risk Office (CRO) The Chief Risk Office function has Group-wide responsibility for the management and control of all credit, market, operational, enterprise and liquidity risks and has the responsibility of continual development of methods for risk measurement, frameworks and creating a bank wide strong risk culture. About the Wealth Management (WM) business in the Private Bank Deutsche Bank's Wealth Management business is one of the largest wealth managers worldwide. As a trusted partner of wealthy individuals and entrepreneurs, family offices and foundations, we create lasting value for clients. We specialize in developing bespoke solutions for our clients around the world, for instance wealth planning across successive generations and international borders, asset management with individual risk management, loans and deposits. All this is possible thanks to our global network, our many years of experience and our close collaboration with the Corporate Bank, Investment Bank and DWS. The Lombard Lending and Derivatives Risk Management Pre-Deal team is responsible for the analysis, monitoring and management of credit risk from Lombard Lending trades and IPB derivative trades across all asset classes. 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 perform Pre-deal trade level Advance Ratio calculation for Lombard Lending collateral as well as Credit Exposure and Initial Margin calculation for derivatives - fixed income, foreign exchange, commodities, credit, Emerging Markets and asset-backed securities. The Pre-Deal assessment uses quantitative and qualitative risk management techniques such as VAR, Potential Future Exposure, back-testing, scenario and stress testing and identification of other non-trivial risks (liquidity, wrong-way, dislocation, concentration risk, gap risk). You review Advance Ratio calculation rules and coordinate the implementation of new rules. You update the WM methodology handbook, business requirement documentations, KOPs and calculation workbooks. You closely interact with Lending Business, IPB & WM credit analysts and the IPB Agile team to discuss new trades, inherent risk and defend risk calculation approach, identify market trends, perform and communicate portfolio impact and concentration risk analysis, and identify and monitor deteriorating collateral. Your skills and experience University degree in Finance, Mathematics, Engineering, Physics, Economics, Econometrics, Statistics and if the degree is in Humanities subjects, then strong programming skills would be essential. Knowledge of financial markets, traded products, risk concepts and strong derivative product knowledge across multiple asset classes. Strong mathematical and statistical background, attention to details and strong analytical skills. Experienced in methodology development for financial products and excellent communication skills with ability to articulate technical and financial topics with Global stakeholders. 2-6 years working experience in Model Risk, Lombard Lending, Derivatives Business or Risk Management. Working experience in Excel and using large data sets in a statistical software package as Python for analysis and risk management. Able to multi-task and deliver under tight deadlines. 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

Project Role : Security Architect Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations. Must have skills : Product Security Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :AI Red Teaming Expert Adversarial ML, Threat Simulation, and AI Security StrategyWe are seeking a highly experienced and visionary AI Red Teaming Expert 12+ years of experience across cybersecurity and machine learning. This role is ideal for professionals who thrive in dynamic environments and possess a passion for securing cutting-edge AI/ML systems. You will lead red teaming operations, simulate adversarial threats, and guide the organizations AI security posture at strategic and technical levels. The ideal candidate demonstrates deep technical expertise, exceptional leadership, and a keen understanding of adversarial machine learning and risk mitigation frameworks. Roles & Responsibilities:Define and execute the AI red teaming strategy across the organization.Simulate realistic and advanced adversarial attacks against AI/ML systems aligned with business contexts.Review AI/ML system architecture to identify security gaps and advocate for secure design patterns.Establish internal standards and workflows for AI threat modeling, risk assessment, and adversarial testing.Stay ahead of evolving adversarial ML threats and guide the development of defensive strategies.Contribute to secure development practices for model deployment pipelines and lifecycle management.Lead and mentor a specialized team of AI security analysts and red teamers.Represent AI security strategy in executive forums and drive cross-functional alignment.Collaborate with engineering, data science, compliance, and legal stakeholders to integrate security into AI innovation cycles.Drive internal policy-making efforts around responsible and secure AI development practices.Own and lead remediation initiatives, translating findings into actionable improvements across teams. Professional & Technical Skills: Exceptional communication and leadership skills with the ability to convey technical issues to non-technical stakeholders.Proven experience managing high-impact security initiatives and leading diverse teams.Strategic thinker capable of aligning AI security objectives with business goals.Passionate about AI safety, responsible innovation, and emerging threat landscapes.Strong analytical and problem-solving skills in high-pressure environments.Hands-on expertise in red teaming AI/ML systems at scale.Strong understanding of adversarial ML techniques, threat simulation tools, and AI model manipulation tactics.Experience implementing and aligning with frameworks such as OWASP Top 10 for LLMs, ISO 42001, NIST AI RMF.Proficiency in AI/ML pipeline security, model risk evaluation, and secure MLOps practices.Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their associated vulnerabilities.Demonstrated ability to design, execute, and scale red teaming programs in AI-native environments.- Additional Information:Bachelors or Masters degree in Computer Science, Information Security, Machine Learning, or related field.Recognized certifications such as CEH, OSCP, CISSP, or credentials specific to AI security (e.g., MITRE ATLAS experience) are a plus.- 12+ years of experience spanning cybersecurity, AI/ML, and adversarial testing- This position is based at our Bengaluru office- A 15 years full time education is required. Qualification 15 years full time education

About Us. Standard. At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.. About The Role. As a Quantitative Analyst within ANZ Market Risk, your role is to support the Markets business to meets its growth aspirations and its regulatory obligations through the validation of valuation and risk models across Traded and Non-Traded Market Risk and Counterparty Credit Risk. You will act as a subject matter expert to a range of stakeholders across Markets Risk and the wider Markets Business to maximise the flow of technical and practical knowledge within the group.. Banking is changing and we’re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you’ll be building your future, while helping to build ours.. Role Type: Permanent. Role Location: Acacia,Bengaluru. Work Hours: Regular. What will your day look like?. As an Quantitative Analyst, you are accountable for :. Design, model, develop and maintain independent market risk benchmark models. Provide effective challenge to model assumptions, mathematical formulation and implementation. Assess and quantify model risk due to model limitations and determine mitigating factors and controls.. Provide support fo development and maintenance of Markets Risk measurement systems and associated processes. Proactively remediate outstanding risk methodology issues including participation in risk methodology discussions with Technology teams and model developers (inclusive of third-party vendors).. Provide proactive quantitative risk support to Front Office, Markets Risk product managers, Markets Finance, Treasury and Banking Book. Maintain relationships with Risk Managers to maximise the flow of technical and practical knowledge within the Group.. Provide excellent key Stakeholder Management of internal & external stakeholders. Anticipate issues & influence decisions, negotiate outcomes and communicate them in an effective and timely manner; proactively identify project management issues affecting delivery and suggest solutions.. Establish a reputation for credibility, integrity and technical excellence of the team as a whole with stakeholders.. Assist in the provision of quantitative outcomes required to achieve excellent audit outcomes; prepare audit documentation on quantitative issues & explicit role in liaising with auditors as a quantitative SME as required.. Establish a good working culture (open, collaborative & efficient) in any small groups you are part of. Be seen as a role model within and outside the validation team. Help embed a great risk culture in ANZ. Ensure all initiatives are undertaken in accordance with established risk and compliance principles and policie. What will you bring?. To grow and be successful in this role, you will ideally bring the following:. Experience in Financial Markets across multiple asset classes. Experience in Market Risk in a quantitative role w/in Front Office or Risk. Sound knowledge of Financial Mathematics including derivatives products such as Interest Rate Derivatives, Foreign Exchange Options and Equity/Commodity derivatives. Expertise in C/C++ and Python. Experience in financial mathematics, quantitative models such as Hull-White, LGM, Libor Market Model, Stochastic Local Vol etc. Ability to communicate regulations, policies and procedures concepts to a wide variety of staff. You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.. So why join us? (Global). From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.. But it's not just our customers who'll feel your impact. you'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.. We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.. At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirement, let us know how we can provide you with additional support.. To find out more about working at ANZ, visit https://www.anz.com.au/careers . You can apply for this role by visiting ANZ Careers and searching for reference number 97559.. Job Posting End Date. , 11.59pm, (Indian Standard Time). Show more Show less

Role & responsibilities Capgemini Invent is looking for candidates who have the right mix of Domain & Management experience to join our Data-driven FRC Pre-Sales track. The role will require the following: Primarily responsible for all activities leading in pre-sales, initial client communication & understanding the business and operational goals of our clients. Present and demonstrate end-to-end capabilities to all required point-of-contacts and prospective clients. Create Offers/Client Pitches/Business Proposals, respond to RFQs/RFPs and create quick proofs-of-concept / custom demos/integrations to help the sales team drive deal closures. To deliver a high-quality experience to the prospects & customers during engagement, acquisition, and onboarding. Present and demonstrate end-to-end capabilities of our solution accelerators to all required point-of-contacts and prospective clients. Participate actively and deliver Knowledge Sharing Sessions & Training to internal teams/partners. Domain Role: Conduct robust model validation, stress testing, and calibration processes to ensure accuracy and compliance with regulatory standards. Assess and quantify model risk by developing alternative benchmark models. Oversee monitoring of ongoing model performance Communicate validation outcomes to key stakeholders and management. Stay up to date with industry trends, academic research, and regulatory changes affecting rate derivatives and quantitative modelling Maintain detailed documentation of model assumptions, methodologies, and performance metrics, ensuring models meet internal audit and regulatory standards. Should be willing to take on a committed engagement role or client-facing advisory/delivery responsibilities while implementing our offers/solutions with our local and/or global teams. Should be able to conceptualise and lead the development of offers and consulting assets to support pre-sales, GTM pursuits and capability demonstrations. Core Competencies: Relevant experience in the financial services industry with either a consulting firm, internal consulting organization, or within Risk Analytics or Model Risk Management (MRM) function Demonstrate derivatives product knowledge across asset classes including interest rates, credit, equity, commodity, and FX, including pricing and valuation models Strong communication and interpersonal skills, with the ability to interact at all levels of the organization. Experience with the configuration or implementation of any major Risk Management platforms or solutions will be a plus Knowledge of banking and regulatory processes including SR 11-7, SS 1/23, CCAR/DFAST, IRB models and FRTB Excellent presentation and demonstration skills, addressing all key pain points of the client at hand. Excellent aptitude, problem-solving skills, and quick prototyping / proof -of-concept-creation skills. Should be passionate about customer-facing roles. Ability to grasp new technologies and drive executions quickly. Qualifications: Masters or Ph.D. in Quantitative Finance, Mathematics, Physics, Statistics, or a related field with 10+ years of relevant experience. 6-8 years of experience in a Pre-sales role. Certifications such as FRM, CQF, CFA, PRM Deep understanding of interest rate products and derivatives, including pricing models like the Black-Scholes, SABR, HJM, and Hull-White models. Strong problem-solving abilities and attention to detail with the ability to work in a fast paced, high-stakes environment Effective communication skills, with experience in writing clear and concise model documentation Valid Business Visa (B1 or H1) for travel to US

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Job Title- Name List Screening and Transaction Screening Model Strats, AS Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well 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 design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 1–3 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the bank’s products and services, including those related to corporate banking, investment banking, private banking, and asset management 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

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.