Corporate Banking Capital Strats

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

Benefits offered by this job

Leave policy

Parental leaves

Childcare reimbursement

Certifications sponsorship

Employee Assistance Program

Hospitalization Insurance

Life and Accident Insurance

Health screening

Job summary

Deutsche Bank in Mumbai, India, seeks an Associate in Corporate Banking Capital Strats to build scalable analytics for capital, ECL, and financial resource management. You will translate business and regulatory needs into robust Python and C++ implementations with strong controls and documentation.

Join a global front-office platform that collaborates with risk, finance, and technology teams to deliver end-to-end solutions, data-quality improvements, and production-ready code in a fast-paced

Qualifications

• 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.

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.

Skills

Python

C++

SQL

Data analysis

Education

Engineering/CS/quantitative degree

Tools

Oracle

MySQL

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 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.html

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.