44 Model Risk Jobs

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.

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.

MNC Bank in Bangalore looking for Internal Auditor (MRM and CRM) This position ispecifically focused on Model Risk Management (MRM) . The AVP will support the execution of end-to-end audit processes related to models, including planning, fieldwork, reporting, and issue validation. The role also emphasizes evaluating the design and operational effectiveness of controls , assessing model governance frameworks , and ensuring compliance with internal audit methodology , regulatory expectations, and industry best practices. The ideal candidate brings 10+ years of experience in internal audit or risk functions within financial services, with specialized exposure to model risk management . They must also demonstrate strong analytical, quantitative, and communication skills and be comfortable engaging with stakeholders at all levels. Key Responsibilities: Conduct audits related to Model Risk Management (MRM) and validate controls. Review model documentation, validation, implementation, and governance frameworks . Communicate findings and audit issues effectively to senior stakeholders. Prepare and document audit workpapers that are re-performance ready. Validate remediation of previously identified issues. Support regulatory compliance and internal audit standards. Key Skills & Qualifications: Masters in Statistics, Economics, Financial Engineering , or a quantitative field. CPA, CIA, FRM preferred (or willingness to pursue certification). Deep understanding of model lifecycle, risk controls , and regulatory expectations (SR 11-7, OCC 2011-12, etc.). Strong hands-on skills with tools like Python, R, SAS, SQL, Excel/VBA . Experience with Monte Carlo simulations, regression, machine learning is an added advantage. Familiarity with US regulatory standards around model risk. Strong interpersonal and stakeholder management skills.

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.

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

About The Role : 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 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 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 we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job Title- Risk Reporting Analyst, NCT Location- Mumbai, India Role Description CRO Treasury Risk Management (TRM) provides a holistic coverage of all the risks managed by the Treasury function, including capital risk, liquidity risk, structural interest rate and FX risks, recovery and resolution planning. TRM Capital Risk Management acts as the 2nd line of defense control function for capital risk, which defines the control framework against the risk of insufficient capital at Group and entity level as well as coordinates DBs Internal Capital Adequacy Assessment Process (ICAAP). The Economic Capital Risk Management team sets the banks economic capital adequacy framework and establishes controls for certain economic risks. Economic capital adequacy framework comprises the banks principles for risk quantification approaches under the economic perspective and economic loss absorbing capacity. Controls for economic risks refer to Pillar 2 risk types such as step-in risk and insurance risk and risks related to intangible assets. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support in the ongoing monitoring, reporting and escalation of DB Groups economic capital adequacy metrics. Maintain a robust control environment for DB Groups economic capital models, including data quality and model risk activities. Contribute to improvement initiatives related to the models that measure the risk related to the banks earnings volatility risk, software assets portfolio and risk type diversification. Analyze the changes in DBs risk profile and the differences between economic and regulatory capital models (i.e. mutual information between Pillar 1 and Pillar 2). Coordinate disclosure (e.g. Pillar 3 report) and external engagement points (DB Group supervisors) on economic capital models. Support in the implementation of measures required by supervisors, auditors and validators. Your skills and experience Education and Experience: Relevant university degree or equivalent necessary. Prior experience in risk frameworks, risk modelling or capital adequacy topics. Competencies: Knowledge about key regulations on capital adequacy/ICAAP Hands-on working approach with good analytical skills and strong attention to detail. Ability to present information to senior management in an appropriate way (quality & format). Ability to independently liaise with internal stakeholders. Ability to manage multiple tasks or projects at once and within given timeframes. Confident in management of models, handling and analyzing large amount of data. Proficient in Microsoft Office and Power Point. Personal characteristics: Excellent communication skills in business-fluent English, verbal and written. A team player, able to work collaboratively in a global diverse team within a complex management structure and virtual team across the globe. Focused and self-motivated with continuous improvement mind-set. Goal-oriented, positive and constructive attitude. Ability to cope well under pressure and within deadlines. 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

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.

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 : NA Minimum 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 organization's 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:Bachelor's or Master's 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

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.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleProduct Tagging Validation Specialist Corporate TitleAVP LocationMumbai, India Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. 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 As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : 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 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 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 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 The Role : Job TitleRisk Manager/Senior Risk Manager - Model Validation LocationPune, India Corporate TitleAVP Role Description At DWS, were capturing the opportunities of tomorrow. You can be part of a leading, client-committed, global Asset Manager, making an impact on individuals, communities, and the world. Join us on our journey, and you can shape our transformation by working side by side with industry thought-leaders and gaining new and diverse perspectives. You can share ideas and be yourself, whilst driving innovative and sustainable solutions that influence markets and behaviours for the better. Every day brings the opportunity to discover a new now, and here at DWS, youll be supported as you overcome challenges and reach your ambitions. This is your chance to lead an extraordinary career and invest in your future. Read more about DWS and who we are here. Team / division overview 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 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 As a Risk Manager you will Contribute to the enhancement of DWS model risk appetite and management framework definition Engage model owners/users/developers for the collation and ongoing maintenance of the DWS Model Inventory Support the management the model approval process, administration for initial use approval, subsequent approvals and model change oversight Implement model risk governance processes including model risk assessment and reporting thereon to relevant governance forums Interact with regulators and internal/external audit on model risk management topics Compile and distribute model governance forum materials Coordinate with Model Validation for the firms models; define validation priorities for both in-house and vendor models, based on regulatory guidance, internal policy and procedures and best industry practice Work with technology partners to design and roll out the firms strategic model inventory and workflow solution Review validation findings, recommendations and reports, while tracking and reporting of model findings and remediation status Your skills and experience Strong experience in Model Governance and/or Model Risk Management Strong knowledge of Model Risk regulatory requirements and industry standard practice Experience in drafting policy and procedure documentation, and MIS intended for a senior audience that includes senior management, oversight forums and regulators Exceptional interpersonal skills and ability to collaborate successfully Proven success as a trusted partner who implements change and positively influences change adoption by end users Educated to degree level in a financial related discipline or with relevant professional experience 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 : In Scope of Position based Promotions (INTERNAL only) Job TitleProduct Tagging Validation Specialist Corporate TitleAVP LocationMumbai, India Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. 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 As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance 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.

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.

Department Model Risk, which is part of larger Enterprise Risk team Location Gurgaon Office Bangalore Office Reports To Associate Director - Model Risk Level Level 6 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our Model Risk team and feel like youre part of something bigger. About your team Global Risk: The risk team in Fidelity covers the management oversight of Fidelitys risk profile including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. Enterprise Risk Management (ERM): The ERM function is lead by the Head of Enterprise Risk and the primary purpose of ERM is to ensure that the business is managing risk within its agreed risk appetite, and in accordance with the associated ERM Framework. The ERM function is also responsible for capital management, 2nd line oversight of strategic and financial risks, risk regulatory reporting, risk appetite, risk culture and the ERM framework. It also acts as the oversight function for model risk and EUC Risk Purpose of your role A senior model validation professional with a primary responsibility for independently completing model validation exercise. This role requires a deep understanding of modelling (preferable asset management modelling experience), their underlying mathematics, and the technology used for implementation. The ideal candidate will possess a strong background in model validation or development within financial institutions or consulting firms. The Senior Manager will tackle challenges related to complex and extensive models and innovate solutions to support effective model risk assessment. As Senior Model Validation Quant, this role focuses on engaging with business, i.e. model owner and developers in a model validation exercise, conducting in-depth validation analyses, identifying potential issues and communicate effectively to relevant stakeholders. Facilitate knowledge sharing and effective risk management to benefit the team and the wider business. while maintaining strict adherence to FIL's Model Risk Policy and procedures. Key Responsibilities To develop a strong understanding of FIL's Model Risk Policy and procedures and support education efforts with internal and external stakeholders Independently lead model validation exercises, applying rigorous analysis to assess model accuracy, robustness, and compliance with FIL's Model Risk Policy or other relevant regulations. Identify potential issues and discrepancies, and engage in open discussions with stakeholders to reach consensus on appropriate remediation actions. Translate complex technical findings into clear and actionable recommendations for both technical and non-technical stakeholders. Act as a subject matter expert, providing guidance and insights to model owners and developers, ensuring compliance with FIL's Policy and procedures. Stay abreast of current trends in asset management sector, and apply this knowledge to model validation processes. Stay informed about evolving model risk regulatory requirements related usage in various geographies and ensure compliance in model validations. Foster a collaborative environment within the Model Risk Team, promoting knowledge sharing and teamwork. Mentor and guide junior team members in their professional development. Experience And Qualifications Required Strong expertise in at least one of the following areas: usage of models in asset management, risk management, finance, ESG, AI/ML OR others (fair valuation, performance attribution). Minimum of 5 years of experience in quantitative modelling and model validation within the financial industry. Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline preferred. Proficiency in programming languages such as Python, R, or MATLAB. Ability to demonstrate project delivery across model validation, model documentation will be highly advantageous. CQF/FRM/CFA designation would be advantageous Hands-on mentality Excellent analytical, problem-solving and written skills. Strong people management skills and experience Excellent at providing innovative ideas and comfortable working under pressure Dedicated to maintaining high quality standards and client satisfaction

3 Years+ Exp. in Market Risk (Market Risk+ Model Validation/Development+ Statistical knowledge are mandatory) MBA Budget - Upto 37 LPA 5 Days/Cabs Please Call - 9999869475 Required Candidate profile Model development/validation/audit/review primarily for market risk including Value at Risk models, &/or derivative pricing & valuation models primarily for CCAR/DFAST reporting including CVA models.

Function: BCM Data & Advanced Analytics With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Manager/ Assistant Manager, Behavioral Modeler (Development/Validation) In this role, you will be responsible for Development or Validation of Behavioral Models (models in the area of Financial Crime like Fraud or AML, Marketing Campaigns, Adjudication models etc.) for banking and financial institutions. Responsibilities also include staying abreast on modeling policies, crafting whitepapers, and preparing artifacts for model development and validation. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm as Behavioral Model Development/Validation and Researcher Specialist. The role will require interacting with various business units including their risk, finance, controllership stakeholders etc. You will also be responsible for coordinating with auditors and model development or validation teams to ensure the Enterprise Modeling Governance standards are followed; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. Assess the quality of the data for model development as well as inputs to the model, providing recommendations to improve the data quality at the source. Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Propose recommendations to improve monitoring systems and capabilities based on identified risk and control gaps. Conducting in-depth research on existing and emerging policies related to behavioral modeling and contributing to the creation of whitepapers. Researching and contributing to artifacts creation as required in a consulting role. Qualifications we seek in you! Minimum qualifications Experience in developing, validating models and risk management of behavioral models (preferably in financial crime like AML or Fraud models, additional expertise in marketing campaign models or adjudication models using machine learning techniques are preferred) Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models Statistical modeling experience including regression, time series, Markov TPM, survival techniques etc. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Strong scripting and automation experience using SAS/Python/R etc. Master’s degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise of communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Preferred qualifications Strong networking, negotiation and influencing skills. Prior experience in financial crime, machine learning models

Location -Gurgaon Time 1 pm to 10pm Both sides cab available Looking for candidate who can develop models related to credit Risk Model, FICO Model. Ensure models are accurately tuned and meet regulatory and business requirements. Prepare detailed reports and presentations on fraud trends, model performance, and recommendations for improvement. Communicate findings to stakeholders and senior management effectively. Create and maintain comprehensive Model Development Reports (MDRs) summarizing validation activities, methodologies, and results. Conduct thorough assessments of financial crime models to identify strengths, weaknesses, and areas for improvement. Perform detailed data analysis to evaluate the accuracy and reliability of fraud-related findings. Identify any discrepancies or anomalies in the data provided by financial crime vendors. Ensure all documentation adheres to regulatory and organizational standards. Collaborate with model development, and compliance teams to address any concerns or issues identified during the validation process. Stay abreast of industry best practices and regulatory changes related to credit reporting and scoring Bachelors/ masters degree in Statistics, Economics or a related field (FRM is a plus). 1 -5 years of experience in Model validation and monitoring of Fraud/Financial crime models. Familiarity with fraud detection systems and vendors such as FICO, VISA and STAR is a plus. Hands-on experience in programming languages like SQL, Python and advanced excel. Excellent communication and interpersonal skills. Please share your profile at jyoti.gupta@nlbtech.in

Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. Your key responsibilities As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance Your skills and experience Experience/ Exposure Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail

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.

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

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleModel Validation Specialist- Derivative Pricing, AS 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 Credit, Securitization and Research domains. 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 especially 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