38 Model Risk Jobs - Page 2

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.

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.

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

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

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