Corporate Banking Capital Strats

Deutsche Bank AG; Mumbai; On-site; INR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Best in class leave policy

Childcare assistance

Industry relevant certifications

Healthcare insurance

Employee Assistance Program

Job summary

Deutsche Bank is seeking an Associate in Corporate Banking Capital Strats in Mumbai to develop quantitative analytics and scalable solutions for capital, ECL, and resource management. You will collaborate with global Front Office, Risk, Finance, and Tech teams, translating requirements into robust Python and C++ implementations with strong data governance.

The role emphasizes model development, calibration, scenario analysis, and production support, targeting robust, auditable, and scalable

Qualifications

• Strong quantitative background in a STEM/finance discipline.
• 2+ years of hands-on Python development for data analysis/production code.
• Working knowledge of C++ concepts and OOP fundamentals.

Responsibilities

• Develop analytics and forecasting tools for capital, ECL, and risk-weighted assets.
• Translate business/regulatory requirements into scalable solutions.
• Build, test, and maintain applications and libraries in Python and C++.

Skills

Python development

C++ concepts

SQL

Econometrics/data science

Banking product knowledge

English communication

Problem solving

Data quality

AI tools

Education

Engineering/CS/Math/Stats/Physics/Finance/Economics (quantitative)

Tools

Oracle

MySQL

Job description

Job Description:Job Title: Corporate Banking Capital StratsCorporate Title: AssociateLocation: Mumbai, IndiaRole DescriptionDeutsche 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 youAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy,Best in class leave policy.Gender neutral parental leaves100% reimbursement under childcare assistance benefit (gender neutral)Sponsorship for Industry relevant certifications and educationEmployee Assistance Program for you and your family membersComprehensive Hospitalization Insurance for you and your dependentsAccident and Term life InsuranceComplementary Health screening for 35 yrs. and aboveYour key responsibilitiesDevelop analytics and forecasting tools for capital, expected credit loss, risk-weighted assets, and financial resource managementUnderstand business and regulatory requirements, decompose complex problems, and design practical end-to-end solutionsBuild, 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 requiredSupport model development, calibration, scenario analysis, and production implementation with appropriate documentation and controlsCollaborate with global Front Office, Credit Risk Management, Finance, and Technology stakeholders to gather requirements, resolve issues, and deliver agreed outcomesContribute to automation, platform modernization, data-quality improvements, testing, release activities, and ongoing production supportYour skills and experienceStrong academic background in engineering, computer science, mathematics, statistics, physics, finance, economics, or another quantitative disciplineAt least two years of hands-on Python development experience, including data analysis and production-quality codingWorking knowledge of C++ concepts, including object-oriented programming, pointers, and common data structuresExperience with relational databases and SQL; knowledge of database design using platforms such as Oracle or MySQL is preferredSound quantitative foundations in probability, linear algebra, statistics, and optimization; exposure to econometrics or data science is advantageousUnderstanding of banking products, credit risk, regulatory capital, expected credit loss, or financial resource management is desirableSkills That Will Help You ExcelExcellent written and spoken English, with the ability to explain quantitative and technical topics clearly to global stakeholdersStructured problem-solving skills and the ability to convert broad business questions into manageable analytical tasksStrong attention to detail, ownership, and commitment to controls, testing, and data qualityCollaborative approach and confidence working across business, risk, finance, and technology teams in different locationsAbility to manage competing priorities, learn new products and methodologies, and deliver reliably in a fast-moving environmentProven 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 youTraining 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 teamsPlease visit our company website for further information:https://www.db.com/company/company.htmlWe 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.