Corporate Banking Capital Strats
Deutsche Bank
- Location
- Mumbai Nirlon Know. Pk B4-B5
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 16, 2026
Skills
About this role
Job Description
Job Title: Corporate Banking Capital Strats Corporate Title: Associate Location: Mumbai, India Role Description Deutsche India Pvt Ltd is Deutsche Bank’s global platform for front-office and aligned functions, combining exceptional talent with a collaborative culture. As an Associate in Corporate Banking Capital Strats, you will work closely with Strats, business, Risk, Finance, and Technology teams in Mumbai and global locations to develop quantitative analytics, forecasting tools, and scalable solutions for capital, expected credit loss, financial resource management, and performance decision-making. You will translate business and regulatory requirements into robust implementations, primarily using Python and C++, while maintaining strong standards for control, data quality, and documentation. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll 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 Develop analytics and forecasting tools for capital, expected credit loss, risk-weighted assets, and financial resource management Understand business and regulatory requirements, decompose complex problems, and design practical end-to-end solutions Build, enhance, test, and maintain scalable applications and analytical libraries using Python and C++ Source, analyze, and validate financial, risk, default, and recovery data; design tables and relational data structures where required Support model development, calibration, scenario analysis, and production implementation with appropriate documentation and controls Collaborate with global Front Office, Credit Risk Management, Finance, and Technology stakeholders to gather requirements, resolve issues, and deliver agreed outcomes Contribute to automation, platform modernization, data-quality improvements, testing, release activities, and ongoing production support Your skills and experience Strong academic background in engineering, computer science, mathematics, statistics, physics, finance, economics, or another quantitative discipline At least two years of hands-on Python development experience, including data analysis and production-quality coding Working knowledge of C++ concepts, including object-oriented programming, pointers, and common data structures Experience with relational databases and SQL; knowledge of database design using platforms such as Oracle or MySQL is preferred Sound quantitative foundations in probability, linear algebra, statistics, and optimization; exposure to econometrics or data science is advantageous Understanding of banking products, credit risk, regulatory capital, expected credit loss, or financial resource management is desirable Skills That Will Help You Excel Excellent written and spoken English, with the ability to explain quantitative and technical topics clearly to global stakeholders Structured problem-solving skills and the ability to convert broad business questions into manageable analytical tasks Strong attention to detail, ownership, and commitment to controls, testing, and data quality Collaborative approach and confidence working across business, risk, finance, and technology teams in different locations Ability to manage competing priorities, learn new products and methodologies, and deliver reliably in a fast-moving environment Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. How we’ll support you Training