203 Basel Jobs - Page 8

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 TitleMarket Risk Analyst LocationPune, India Corporate TitleNCT Role Description This role focuses on a number of activities across Market Risk Metric Production and Analysis , Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. The role involved data validation and reporting and front to back process control of an asset class e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. The role includes market Risk Metric Production and Analysis using Historical Simulation, provision of analysis and explains across all relevant risk metrics. The role involves Run the Bank (RTB) Change Support through continuous improvement, business process reengineering, stability and process optimisation, test execution management. The role extends into Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP). Team / division overview Market Risk Management (MRM) provides an independent view of market risks to Deutsche Banks senior management and manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. 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 Market Risk Analyst primary responsibilities will be: Risk feed validation, mapping and related control Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level Generation and review of critical risk reports across different risk metrics VaR/ SVaR, EC, PST, IRC Work closely with other Market Risk functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Your skills and experience Grad/post-grad degree. Qualified in a numerate discipline (Engineering/Maths/Statistics) will be plus. Strong understanding of financial markets, products, derivative pricing, and methodology. Excellent communication skills ability to articulate technical and financial topics with global stakeholders A reliable team player with the motivation to work in a dynamic, international and diverse environment. A committed and motivated individual for self-development and growth Keen interest in various risk frameworks and how they are interconnected for banks capital Basic experience in using large datasets with experience in relevant software packages, e.g. MS Excel, MS Access, VBA, and SQL. Experience with additional programming languages is a plus, e.g. Python, Matlab, Sql Knowledge of coding in Python and Tableau exploration useful Able to multi-task and deliver under tight deadlines Able to work different shifts 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 : In Scope of Position based Promotions (INTERNAL only) Job Title Risk Portfolio Analyst Location Mumbai, India Corporate Title Associate Role Description The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located across the globe. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. The role is with the market risk portfolio team which is one of the central function teams. Team / division overview Portfolio Risk - Portfolio Risk provides a cross asset top-down view for senior management to understand the various market risks across the trading and banking landscape that DB Group is exposed to; including highlighting material risks whether they are driven by individual trades or caused by concentrations or market liquidity concerns. In collaboration with the Market Risk Managers the team designs the risk appetite and risk identification frameworks ensuring a consistent adoption of industry leading standards. The team works closely with Market Risk Managers covering all asset classes along with other key stakeholders across the enterprise. 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 Portfolio Analyst, you will: Identify the top and emerging risks each week, including sourcing the relevant information from other teams in MRAC and the business MRMs. Review and understand the market risk RWA, including staying abreast of the development of this metric. Understanding of market risk FRTB RWA regulations. Perform deep dive analysis into concentrations of risk or emerging items of interest, providing high quality and accurate information / commentary at a level for senior management consumption. Coordinate across business aligned market risk teams to understand changes in risk and impacts on capital and risk management metrics (VaR). Support ad hoc queries from senior management, regulator, auditor etc on movements in risk and historical trends. Prepare daily / weekly reports with appropriate commentaries on risk changes. Support the analysis and communication of portfolio level topics to senior management and their committees. Develop necessary tools to facilitate more efficient analysis of risk. Your skills and experience University degree in Economics, Mathematics or another quantitative subject. 4-8 years' experience in Market Risk within the Financial Market / Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered). In depth understanding of other Market Risk measurement techniques e.g. VaR, RNiV, Economic Capital, IRC, etc. Conversant & interested in macroeconomic / geopolitical events, both current and historical A reliable team player with the motivation to work in a dynamic, international, and diverse environment. Strong interpersonal skills and ability to build relationships across different stakeholder groups. MS Office proficient, especially Excel and PowerPoint. Python/ VBA / SQL skills would be advantageous. 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.

Senior Technical Consultant - OFSAA FSDF, DIH, DIH-EDMCS, DIH-AHCS, GL Reconciliation and BCE Technical Consultant experienced in the implementation of OFSAA Suite of solutions. The Technical Analyst will work closely with the Technical and Functional subject matter experts from the bank side and other team members on the Oracle side to provide design guidance and query support to the customer on DIH and FSDF configurations. Hands-on knowledge and experience in OFSAA solutions, especially FSDF, DIH and GL Reconciliation, are required. Knowledge of other ERM or EPM applications, such as Basel, Regulatory Reporting Solution, ALM, BCE, etc., is a plus. Major responsibilities include: Manage Tier 1 customer implementation to deliver core business objectives of FSGBU and develop trusted relationships. Support FSGBU Consulting to influence key technical and architecture decisions with senior stakeholders. Support to build and maintain effective working relationships with internal stakeholders, including Product Engineering and support teams Install and deploy the OFSAA solutions in a customer environment. This includes coordinating with customer technical resources. Support all phases of deploying the OFSAA solutions at customer sites, including initial installation, patches and upgrades, application configuration, batch executions, troubleshooting, system integration testing, user acceptance testing and go-live. Interact with Functional and Technical Consultants to ensure the successful deployment of the OFSAA solutions. Discuss and document the configuration of the client environment. Support to train customers in managing the OFSAA environment. Train new resources on the product, customer environment and implementation tasks Adopt and contribute to Organizational best practice methodologies for knowledge dissemination throughout the OFSAA Delivery organization. Excellent communication, negotiation and influencing skills are required for this role as this will involve managing customer conversation directly. Location: Bangalore, India Education: Engineering Degree in Computer Science or Masters in Computer Applications Responsibilities Manage Tier 1 customer implementation to deliver core business objectives of FSGBU and develop trusted relationships. Support FSGBU Consulting to influence key technical and architecture decisions with senior stakeholders. Support to build and maintain effective working relationships with internal stakeholders, including Product Engineering and support teams Install and deploy the OFSAA solutions in a customer environment. This includes coordinating with customer technical resources. Support all phases of deploying the OFSAA solutions at customer sites, including initial installation, patches and upgrades, application configuration, batch executions, troubleshooting, system integration testing, user acceptance testing and go-live. Interact with Functional and Technical Consultants to ensure the successful deployment of the OFSAA solutions. Discuss and document the configuration of the client environment. Support to train customers in managing the OFSAA environment. Train new resources on the product, customer environment and implementation tasks Adopt and contribute to Organizational best practice methodologies for knowledge dissemination throughout the OFSAA Delivery organization. Excellent communication, negotiation and influencing skills are required for this role as this will involve managing customer conversation directly.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SQL, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Entity :- Accenture Strategy & Consulting Job location :- Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Risk. Qualification Who we are looking for 7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards Anti Money Laundering AML scenarios/alerts, Network Analysis Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Salary: 15 to 30 LPA Exp: 3 to 7 years Location: PAN India Notice: Immediate only..!! Key Skills: SQL, Power BI, Credit Risk, risk analytics, MIS, risk reporting Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Credit risk . Strong proficiency in tools like SQL, Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

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. Your key responsibilities The core responsibility will be to validate Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand the different business including Investment Banking, Private Bank, Corporate Bank and Asset Management. 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 utilized in validation activities. Your skills and experience 6-10 years of professional experience in model development/ validation or related areas. 2-3 years of experience in PPNR model development / validation. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. The candidate must possess substantial knowledge and experience in working with B/PPNR models across various lines of business, including Corporate Banking, Private Banking, Investment Banking, and Treasury Functions. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Experience and knowledge of Statistical techniques, strong analytical skills with experience in relevant software packages, e.g., R and Python. Candidate needs to have 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. Good presentation & communication skills. Ability to deal with stakeholders and handle difficult conversations. Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. Candidates having experience / strong knowledge in Business Intelligence tools like Power BI, Tableau, Automation through MS-Access / VBA, developing framework, designing presentations will be a plus for the role.

Ready to shape the future of work? At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook. 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. Were 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 Model Development In this role, you will be responsible for model development, implementation & documentation - for a BFS client in the US Responsibilities You will be working with the model development function of a large banking client and will focus on data validation, model methodology, calibration, implementation and monitoring of risk and regulatory models across business functions, and development of challenger models, as necessary. It will also involve interaction with various stakeholder groups including model validation, model owners/lines of business, auditors, and client model developers. You will be expected to work hands-on to assess models, build and lead development teams, and bring in thought leadership and domain/quantitative best practices to present an effective challenge to the models. Your activities will include, but will not be limited to the following: Work hands-on in development, re-development, and calibration of risk and regulatory models for banking book including deposit runoff, average balance forecasting, prepayment models for assets portfolio Data and quantitative analysis to support modelling decisions and ensure the correctness of the market data sourced from several vendors. Work on the development of model methodologies, algorithms, and diagnostic tools for testing model robustness, sensitivity, and stability. Detailing of model techniques and interpretation of variables used in the models to be documented and presented to client stakeholders. Develop model performance metrics and a detailed model monitoring plan to ensure continued use of these behavioural models Development of benchmark models may be required Help develop thorough technical documents for distribution and presentation to senior management, model developers, auditors, and regulators. Bringing in industry best practices and consultative inputs to help deliver continuous value to client engagements in advanced risk analytics. Qualifications we seek in you! Minimum qualifications Educational qualification: master's and bachelor's degrees in quantitative disciplines, like, mathematics, statistics, economics, computer science and engineering, etc.; MBAs must have bachelor’s degree in above-mentioned disciplines Relevant experience: For Assistant Manager: relevant years' experience in Banking and Financial services, with experience in predictive modeling of regulatory and non-regulatory credit risk domain For Manager: relevant years’ experience in Banking and Financial services, with experience in predictive modeling of regulatory and non-regulatory credit risk domain Hands-on experience in SAS is needed. It is good to have Python coding experience. Experience in developing, validating models and risk management of credit risk models. Knowledge of various statistical techniques and proven skill in regulatory and non-regulatory credit risk modelling Understanding and experience of the regulatory risk model development/validation guidelines – SR 11-7, Basel IRB, CCAR, CECL, IFRS9 etc. End-to-end development or independent validation of credit risk and regulatory models including but not limited to – PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML and counter fraud models etc. Develop statistical/mathematical and machine learning based models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Excellent knowledge of various statistical techniques Strong client management and communication/presentation skills – written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Preferred qualifications Strong networking, negotiation and influencing skills. Knowledge of credit risk management for retail and wholesale lending products Hands on experience in Machine Learning modeling techniques Why join Genpact? Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation Make an impact Drive change for global enterprises and solve business challenges that matter Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Lets build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR).

Experience of 3+ years working with financial products and market risk while employed at an asset management firm or risk technology vendor. Solid working knowledge of all financial products with an emphasis on MBS, ABS and structured products. Strong knowledge of key market risk analytics including DV01/CS01/OAS/option Greeks and Value at Risk (VaR). Some experience in quantitative models and methods. Strong technical expertise in Excel and Bloomberg. BS or MS in Finance / Financial Engineering Strong communication skills, both verbally and written. Proven ability to multi task in support of multiple processes. Position and responsibilities Analyze risk position data validation, calculation & reporting of market risk exposures and metrics. Communicate with clients in support of daily market risk analytics and reporting. Support sales by responding to client questions during the trial period, implementation and on-going. Mandatory Skills: Market risk , quantitative , python , Dv01 , Var ** work from home option is available

Wells Fargo is seeking a Data Analytics/Audit Manager, VP to lead audits within a dynamic environment. The person we seek will supervise audits and manage work within our CDO audit team, which is responsible for audit coverage of data management and data risk audit coverage strategy for Internal Audit. This is an individual contributor role. In this role, you will: Lead execution of the integrated audit process Participate in audits in accordance with Wells Fargo Internal Audit policy Demonstrate depth and breadth of knowledge and understanding across multiple businesses or develops knowledge in a critical subject matter area Demonstrate comprehensive knowledge and understanding of the financial, operational, technical, and regulatory environment across multiple businesses or develop excellent subject matter knowledge in critical areas of the business Write opinions reflecting relevant facts that lead to logical conclusions Escalate significant risks and loss exposures to appropriate levels of management Ensure documentation and reporting are ready for review by managers and more experienced managers Demonstrate credible challenge Evaluate and provide appropriate solutions for complex problems Lead multiple concurrent projects that are generally moderate to large in size and moderate to high in complexity Identify and assess key risks and controls and develop effective test plans for engagements as assigned with limited guidance Present audit results in an objective and unbiased manner Exhibit appropriate judgment regarding issue notification, issue draft findings to client management, and draft final audit reports Develop and maintain excellent business relationships within Internal Audit and with teams companywide Required Qualifications: 5+ years of Audit, Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 2+ years of experience with subject matter expertise in data management, data governance, or data quality A high level of understanding of fundamental data management principles and methodologies is desired, including data management, data governance, and data quality. Familiarity with the Basel Committee for Banking Supervisions principles (BCBS 239) for data aggregation and reporting Experience at a financial institution or accounting firm Issue validation and remediation experience 2+ years of Project management experience BS/BA degree or higher Solid knowledge and understanding of audit or risk methodologies and supporting tools Certification in one or more of the following: CPA, CAMS, CRCM, CIA, CISA or Commissioned Bank Examiner designation Ability to develop operational reporting and performing complex data analysis Excellent verbal, written, and interpersonal communication skills Extensive knowledge and understanding of research and analysis Job Expectation: Ability to travel up to 10% Sponsorship is not available for this position

Roles and Responsibility Collaborate with clients to understand their business requirements and develop solutions using Oracle Fusion Apps - HCM. Design, implement, and test Oracle Fusion Apps - HCM solutions to meet client needs. Provide training and support to end-users on Oracle Fusion Apps - HCM functionality. Troubleshoot and resolve technical issues related to Oracle Fusion Apps - HCM. Work closely with cross-functional teams to ensure successful project delivery. Develop and maintain documentation of Oracle Fusion Apps - HCM implementations. Job Requirements Strong knowledge of Oracle Fusion Apps - HCM modules and functionalities. Experience working with cliaents to understand their business requirements and developing solutions. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Strong problem-solving and analytical skills. Familiarity with industry-standard protocols and technologies. Mandatory Skills: SAP FI Treasury Risk Cash Liquidity Mgmt. Experience: 8-10 Years.

In this profile you will analyze credit risk using SQL, SAS, Python,Excel,support ICAAP, ECL,&stress testing,build early warning alerts,monitor portfolio performance,work on PD/LGD modeling;deliver monthly/quarterly risk insights& regulatory reports. Required Candidate profile Strong in SQL/SAS/Python, credit risk, ECL, stress testing, and ICAAP. Experience with PD/LGD models, data analytics, and early warning signals. Banking or NBFC background preferred in SME lending

Project description The Business Analyst will work with Moody''s Credit Risk team of UK Based Investement Bank and work collaboratively with Country Finance, Treasury, Group Liquidity Regulatory reporting and BAU teams to understand requirements and articulate them within the Business and data requirements document Responsibilities To act as a business solution owner of the projects'' target state and support analysis included in relevant concept and methodology papers required for preparation of BRDs To be accountable for ensuring that detailed requirements are documented in BRDs, and are duly signed off by relevant stakeholders To ensure that the new solutions comply with internal procedures / external regulatory guidelines and project deliverables are properly understood by business stakeholders, project team, and end-users. Analysis of new data sourcing to support ETL design and development Elicitation of data requirements and documentation of data mapping specifications for Funds Transfer Pricing (FTP) computation Analysis and fixing of data quality issues Validate all downstream data extracts To validate that the strategic system architecture proposed by Technology is fit for its business purpose and is in line with the agreed business target state To drive prioritization taking into consideration business benefits, delivery timelines, system performance etc. To centrally coordinate system interfaces/dependencies/change releases for the Treasury and Liquidity Reporting work streams and ensure alignment across all centres Test planning, coordinate testing, validate test results and obtain sign off from stakeholders To support the development of testing packs with predefined results sets To review test cases ensuring completeness of UAT coverage To monitor any gaps / defects identified, and work with Technology counterparts to track progress and ensure resolution Skills Must have 6-12 years of functional experience in Credit Risk, Capital risk, regulatory reporting change Management roles Functional experience with Moody''s Fermat/Risk Authority risk calculation and reporting engine Good understanding of financial & capital markets domain with sound knowledge of products like equities, fixed income, derivatives, forex etc. Knowledge of Basel Capital regulations and good understanding of financial risk Expertise in SQL and Oracle tools. Experience with both waterfall & agile methodologies Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools Strong communication and stakeholder management skills

Project description The Business Analyst will work with Moody''s Credit Risk team of UK Based Investement Bank and work collaboratively with Country Finance, Treasury, Group Liquidity Regulatory reporting and BAU teams to understand requirements and articulate them within the Business and data requirements document Responsibilities To act as a business solution owner of the projects'' target state and support analysis included in relevant concept and methodology papers required for preparation of BRDs To be accountable for ensuring that detailed requirements are documented in BRDs, and are duly signed off by relevant stakeholders To ensure that the new solutions comply with internal procedures / external regulatory guidelines and project deliverables are properly understood by business stakeholders, project team, and end-users. Analysis of new data sourcing to support ETL design and development Elicitation of data requirements and documentation of data mapping specifications for Funds Transfer Pricing (FTP) computation Analysis and fixing of data quality issues Validate all downstream data extracts To validate that the strategic system architecture proposed by Technology is fit for its business purpose and is in line with the agreed business target state To drive prioritization taking into consideration business benefits, delivery timelines, system performance etc. To centrally coordinate system interfaces/dependencies/change releases for the Treasury and Liquidity Reporting work streams and ensure alignment across all centres Test planning, coordinate testing, validate test results and obtain sign off from stakeholders To support the development of testing packs with predefined results sets To review test cases ensuring completeness of UAT coverage To monitor any gaps / defects identified, and work with Technology counterparts to track progress and ensure resolution Skills Must have 6-12 years of functional experience in Credit Risk, Capital risk, regulatory reporting change Management roles Functional experience with Moody''s Fermat/Risk Authority risk calculation and reporting engine Good understanding of financial & capital markets domain with sound knowledge of products like equities, fixed income, derivatives, forex etc. Knowledge of Basel Capital regulations and good understanding of financial risk Expertise in SQL and Oracle tools. Experience with both waterfall & agile methodologies Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools Strong communication and stakeholder management skills Location - Pune,Mumbai,Chennai,Banagalore

Project description The Business Analyst will work with Moody''s Credit Risk team of UK Based Investement Bank and work collaboratively with Country Finance, Treasury, Group Liquidity Regulatory reporting and BAU teams to understand requirements and articulate them within the Business and data requirements document Responsibilities To act as a business solution owner of the projects'' target state and support analysis included in relevant concept and methodology papers required for preparation of BRDs To be accountable for ensuring that detailed requirements are documented in BRDs, and are duly signed off by relevant stakeholders To ensure that the new solutions comply with internal procedures / external regulatory guidelines and project deliverables are properly understood by business stakeholders, project team, and end-users. Analysis of new data sourcing to support ETL design and development Elicitation of data requirements and documentation of data mapping specifications for Funds Transfer Pricing (FTP) computation Analysis and fixing of data quality issues Validate all downstream data extracts To validate that the strategic system architecture proposed by Technology is fit for its business purpose and is in line with the agreed business target state To drive prioritization taking into consideration business benefits, delivery timelines, system performance etc. To centrally coordinate system interfaces/dependencies/change releases for the Treasury and Liquidity Reporting work streams and ensure alignment across all centres Test planning, coordinate testing, validate test results and obtain sign off from stakeholders To support the development of testing packs with predefined results sets To review test cases ensuring completeness of UAT coverage To monitor any gaps / defects identified, and work with Technology counterparts to track progress and ensure resolution Skills Must have 6-12 years of functional experience in Credit Risk, Capital risk, regulatory reporting change Management roles Functional experience with Moody''s Fermat/Risk Authority risk calculation and reporting engine Good understanding of financial & capital markets domain with sound knowledge of products like equities, fixed income, derivatives, forex etc. Knowledge of Basel Capital regulations and good understanding of financial risk Expertise in SQL and Oracle tools. Experience with both waterfall & agile methodologies Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools Strong communication and stakeholder management skills Location - Pune,Mumbai,Chennai,Banagalore

Role Description The Algorithmic Solutions (AlgoS) team is part of the Group Strategic Analytics (GSA) is seeking a highly motivated analyst to join our team. AlgoS is a small, dynamic team of specialists responsible for design and development of the financial algorithms on which regulatory risk measures such credit risk weighted assets, leverage ratio, expected credit losses and economic capital are based. The team has a deep understanding of existing and newly drafted regulations on capital requirement under both European and US rules with a particular focus on Credit Risk. AlgoS is an international team based in Frankfurt, London, and Pune. As a member of AlgoS, you will interact with a variety of divisions around the firm (Finance, Credit, Market Risk, Regulatory policy, Front Office, Audit and Technology). The interaction with numerous departments technology, front office, quant, credit risk methodology and reporting and the diverse projects that ensue allow for a challenging, varied, and multi-dimensional work environment. Your Key Responsibilities: Algorithmic Design: Understand new and amended capital regime regulations and translate these into intelligent, strategic, and sustainable calculations supporting a more accurate and transparent analysis and reporting of its impact. Business Programming: Design, document and write algorithms in a bespoke AlgoS business language, from which machine generated code is automatically created. Technical build : Facilitate in direct partnership with other technology department the creation of functional design and actual technical build and assure a precise and complete testing of the changes. Change Governance: Run algorithmic book of work in an Agile environment, face off Finance and GT change functions, and ensure successful build of solutions for continuous enhancements on existing and new regulatory framework. Sophisticated Data Analysis: Ad hoc analytic services for senior stakeholders on specific topics such as regulatory quantitative impact studies and what-if analysis for capital planning purposes. Your skills and experience: Masters degree in natural sciences, math, computer science, engineering, finance, or economics. At least 5 years of working experience, ideally in banking with exposure to credit risk and associated regulatory concepts. Engineer mind-set (curiosity, desire to change things, to design and shape processes, and to make projects happen). Work autonomously and feel comfortable working with teams that both welcome and challenge new ideas. Practical experience in programming (SAS, R, SQL, or Python) and working with big datasets. Practical experience on Basel 4 /CRR3 and reporting frameworks FINREP,COREP and Pillar 3 and US and European local regulations is an added advantage.

Project description The Business Analyst will work with Moody''s Credit Risk team of UK Based Investement Bank and work collaboratively with Country Finance, Treasury, Group Liquidity Regulatory reporting and BAU teams to understand requirements and articulate them within the Business and data requirements document Responsibilities To act as a business solution owner of the projects'' target state and support analysis included in relevant concept and methodology papers required for preparation of BRDs To be accountable for ensuring that detailed requirements are documented in BRDs, and are duly signed off by relevant stakeholders To ensure that the new solutions comply with internal procedures / external regulatory guidelines and project deliverables are properly understood by business stakeholders, project team, and end-users. Analysis of new data sourcing to support ETL design and development Elicitation of data requirements and documentation of data mapping specifications for Funds Transfer Pricing (FTP) computation Analysis and fixing of data quality issues Validate all downstream data extracts To validate that the strategic system architecture proposed by Technology is fit for its business purpose and is in line with the agreed business target state To drive prioritization taking into consideration business benefits, delivery timelines, system performance etc. To centrally coordinate system interfaces/dependencies/change releases for the Treasury and Liquidity Reporting work streams and ensure alignment across all centres Test planning, coordinate testing, validate test results and obtain sign off from stakeholders To support the development of testing packs with predefined results sets To review test cases ensuring completeness of UAT coverage To monitor any gaps / defects identified, and work with Technology counterparts to track progress and ensure resolution Skills Must have 6-12 years of functional experience in Credit Risk, Capital risk, regulatory reporting change Management roles Functional experience with Moody''s Fermat/Risk Authority risk calculation and reporting engine Good understanding of financial & capital markets domain with sound knowledge of products like equities, fixed income, derivatives, forex etc. Knowledge of Basel Capital regulations and good understanding of financial risk Expertise in SQL and Oracle tools. Experience with both waterfall & agile methodologies Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools Strong communication and stakeholder management skills Nice to have __

Role & responsibilities JD: Functional Skills: Strong understanding of banking processes and financial products: Strong Regulatory understanding related to Capital covering Assets, Off Balance Sheet Exposures, SFTs (Repos), OTC Hands on experience in Basel Pillar1 and Pillar3 Regulatory returns covering Credit, Market and Operational RWA (preferably under both Basel 3 and Basel 3.1 regime) including Capital base and CAR computation Good understanding of Large Exposure and Leverage and TLAC, Group Solvency ratios computation and components Experience in managing large quantum of data High Analytical quotient and ability to drill down on number movements Identify levers to optimize CET1, CAR and Leverage Ratio Working closely with Change and Project teams to provide BAU prioritization on high criticality items for resolution and support impact assessment relating to Regulatory and Enterprise changes Independently run projects which have potential to generate significant Commercial value Qualification: Finance Professionals (Qualified Chartered Accountant) or MBA (Finance) from a reputed institution. Certifications like FRM, PRM or CFA will be an added advantage Preferred: relevant Capital Reporting experience and Regulatory understanding (major regulators like PRA, MAS, HKMA, BAFIN, BNM etc) in a bank similar in scale and complexity Preferred candidate profile

Role Description Market and Valuation Risk Management (MVRM) provides an independent view of market risks and valuation to Deutsche Banks senior management. Market risk team manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) Production function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. Functionally the team is organized as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics, provision of analysis and commentary across all relevant risk metrics Strategic Production implementation of FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison You will be exposed to risk management techniques viz. analysis/computation of VaR, SVaR, IRC, Backtesting for a diverse range of derivative products. The team is also proficient in combining this risk knowledge with best in class automation and visualization skills including python/VBA/Tableau to provide value added analytical outputs to its stakeholders Your key responsibilities This role is within Market Risk Analysis and Control Pune to focus on a number of activities across Metric Production and Analysis, Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. You will be a part of the Market Risk Analysis and Control (MRAC) function within MVRM and will be responsible for the VaR Production team which operates at a business/asset class and risk metric aligned organizational matrix supported by central functions. The primary responsibilities will be: Manage the team of Risk & VaR validation, mapping and related control along with hands-on involvement in production where necessary. Enabling the team in Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level and control on KPI Generation and review of critical risk reports across different risk metrics VaR/ SVaR, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Support the analysis and communication of business portfolio level topics to senior management and their committees Your skills and experience University degree in Finance, Economics, Mathematics or other quantitative subject. More than 10 years experience in Market Risk within the Financial Market / Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered) Proficiency in Python/VBA, Tableau, MS Office tools is desired for the role Good understanding of Market Risk workflows e.g. VaR, RNiV, Economic Capital, IRC. Excellent communication skills; ability to articulate technical and financial topics with global stakeholders and the team A reliable team player with the motivation to work in a dynamic, international and diverse environment Able to multi-task and deliver under tight deadlines A committed and motivated individual for self-development and growth Manage expectations of the team and groom the team to achieve departmental objectives alongside personal development.

Job Title: Risk Portfolio Analyst Role Description Market Risk Management (MRM) & Methodology provides an independent view of market risks to Deutsche Bank's senior management and manages Deutsche Bank's Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Berlin, Singapore, Mumbai and Bangalore. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. The role is with the market risk portfolio team which is one of the central function teams. Portfolio Risk - Portfolio Risk provides a cross asset top-down view for senior management to understand the various market risks across the trading and banking landscape that DB Group is exposed to; including highlighting material risks whether they are driven by individual trades or caused by concentrations or market liquidity concerns. In collaboration with the Market Risk Managers the team designs the risk appetite and risk identification frameworks ensuring a consistent adoption of industry leading standards. The team works closely with Market Risk Managers covering all asset classes along with other key stakeholders across the enterprise. Your key responsibilities Identify the top and emerging risks each week, including sourcing the relevant information from other teams in MRAC and the business MRMs. Perform deep dive analysis into concentrations of risk or emerging items of interest, providing high quality and accurate information at a level for senior management consumption Coordinate across business aligned market risk teams to understand changes in risk and impacts on capital and risk management metrics (VaR). Support ad hoc queries from senior management, regulator, auditor etc on movements in risk and historical trends. Support the analysis and communication of portfolio level topics to senior management and their committees Develop necessary tools to facilitate more efficient analysis of risk. Your skills and experience University degree in Economics, Mathematics or other quantitative subject. 0-2 years' experience in Market Risk within the Financial Market Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered). In depth understanding of other Market Risk measurement techniques e.g. VaR, RNiV, Economic Capital, IRC, etc. Conversant & interested in macroeconomic geopolitical events, both current and historical A reliable team player with the motivation to work in a dynamic, international and diverse environment. Strong interpersonal skills and ability to build relationships across different stakeholder groups. MS Office proficient, especially Excel and PowerPoint. Python skills would be advantageous.

In Scope of Position based Promotions (INTERNAL only) Job Title: Product Tagging Validation Specialist Corporate Title: AVP 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. 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

In Scope of Position based Promotions (INTERNAL only) Job Title- Market Risk Analysis and Control, AVP Role Description Market and Valuation Risk Management (MVRM) provides an independent view of market risks and valuation to Deutsche Banks senior management. Market risk team manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) Production function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organizational matrix supported by central functions. Functionally the team is organized as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics, provision of analysis and commentary across all relevant risk metrics Strategic Production implementation of FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison You will be exposed to risk management techniques viz. analysis/computation of VaR, SVaR, IRC, Backtesting for a diverse range of derivative products. The team is also proficient in combining this risk knowledge with best in class automation and visualization skills including python/VBA/Tableau to provide value added analytical outputs to its stakeholders Your key responsibilities This role is within Market Risk Analysis and Control Pune to focus on a number of activities across Metric Production and Analysis, Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. You will be a part of the Market Risk Analysis and Control (MRAC) function within MVRM and will be responsible for the VaR Production team which operates at a business/asset class and risk metric aligned organizational matrix supported by central functions. The primary responsibilities will be: Manage the team of Risk & VaR validation, mapping and related control along with hands-on involvement in production where necessary. Enabling the team in Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level and control on KPI Generation and review of critical risk reports across different risk metrics VaR/ SVaR, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Support the analysis and communication of business portfolio level topics to senior management and their committees Your skills and experience University degree in Finance, Economics, Mathematics or other quantitative subject. More than 10 years experience in Market Risk within the Financial Market Investment Banking industry (other relevant backgrounds e.g. Trading, Product Control, IPV will also be considered) Proficiency in Python/VBA, Tableau, MS Office tools is desired for the role Good understanding of Market Risk workflows e.g. VaR, RNiV, Economic Capital, IRC. Excellent communication skills; ability to articulate technical and financial topics with global stakeholders and the team A reliable team player with the motivation to work in a dynamic, international and diverse environment Able to multi-task and deliver under tight deadlines A committed and motivated individual for self-development and growth Manage expectations of the team and groom the team to achieve departmental objectives alongside personal development.

Familiar with Large Exposure Monitoring Concepts. Familiar with Risk and Finance Reconciliation process Should be able to investigate breaks independently Familiar with the Risk Reporting process. Ability to analyze large volume of Data efficiently Understanding of the Risk Metrics Your key responsibilities Demonstrate ability to expand remit and develop broader understanding of Risk management across multiple disciplines. Understanding of Risk DATA Analysis and Investigation approach. Understanding of the Architectural concept of data flow and data management. Understanding of key risk applications like Paragon, GCRS, IDG,cEIS and Risk Portal Manage deadlines and ensure adherence to regulatory / audit requirements. Ensure timely implementation of updates on the risk systems Ensure appropriate and consistent governance is implemented across all Risk management / reporting processes, including dedicated quality analysis of all reporting prior to distribution. Collaborate with all stakeholders including within Finance as well as Credit Risk, Legal, Front Office, Operations and GTO to achieve the goal. Liaise with multiple stakeholders to capture timely and accurate info. Drive efficiencies and standardise the process as required Partner with Information Technology to streamline, automate and develop new processes Develop proposals for improving process Your skills and experience Good Knowledge of regulatory reporting requirements Good knowledge of Finance processes An analytical mindset and good approach to problem solving Drive Process Changes Strong interpersonal and communication skills Team player who enjoys working in an international environment Organized and structured working approach Strong attention to detail Excellent MS Office Word, Excel and PowerPoint skills Qualification Education / Certification/ Skills: Bachelors degree in Finance related subjects, MBA or Chartered Accountant. CFA candidates preferred