Corporate Banking Capital Strats
Deutsche Bank is hiring a Corporate Banking Capital Strats. Level rates it ; you can apply on Deutsche Bank.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, C and quantitative analytics.
- Level classifies it as a mid-level role.
- Level lists 1,100+ other open roles at Deutsche Bank.
AI in this role
Develop quantitative analytics, forecasting tools, and scalable software solutions for capital and risk management.
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.
How we rate this
Corporate Banking Capital Strats at Deutsche Bank rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where quantitative analytics was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Quantitative Analytics, Forecasting, Risk Management, Data Analysis, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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