Trading Enabler Analyst
Posted 7
views
Summary
Analyst in Deutsche Bank's Treasury team doing balance-sheet, interest-rate, liquidity and capital analysis, risk/scenario analytics, forecasting and quantitative modelling, plus building Python-based analytical tools and applying generative AI to Treasury use cases. Core stack: Python, SQL, quantitative/statistics, transformer and agentic AI.
Job Title- Analyst
Location- Mumbai
Job Summary
Treasury at Deutsche Bank is responsible for the sourcing, management and optimization of liquidity and capital to deliver high value risk management decisions. This is underpinned by a best-in-class integrated and consistent Treasury risk framework, which enables Treasury to clearly identify the Bank s resource demands, transparently set incentives by allocating resource costs to businesses and manage to evolving regulation. Treasury s fiduciary mandate, which encompasses the Bank s funding pools, Asset and liability management (ALM) and fiduciary buffer management, supports businesses in delivering on their strategic targets at global and local level. Further Treasury manages the optimization of all financial resources through all lenses to implement the group s strategic objective and maximize long term return on average tangible shareholders equity (RoTE).
Your key responsibilities
Candidates could work across Treasury (Asset Liability Management, Product Behavioral Modelling, Treasury Debt Issuance, Investment Management, Cash Liquidity Management, Capital and Risk Analytics), depending on their skillset and business requirements.
- Balance-sheet, interest-rate, liquidity and capital analysis
- Risk analytics, including sensitivities and scenario analysis
- Forecasting and quantitative modelling
- Funding, bond and investment analytics
- Portfolio and hedge optimization
- Data analysis, validation and reconciliation
- Building Python-based analytical tools and automation
- Applying Generative AI and advanced analytics to relevant Treasury use cases
- Using data and quantitative methods to support Treasury decision-making
Your skills and experience
Proven ability to leverage AI tools to enhance productivity, optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
Must have
- Strong analytical and problem-solving ability
- Strong Python and data analysis skills; SQL desirable
- Good foundation in mathematics, statistics and quantitative modelling
- Basic understanding of transformer-based generative AI models and how they generate information, how agentic AI systems are built and their limitations.
- Ability to work with complex datasets
- Strong communication skills (articulation skills) to translate analysis into practical business insights
Good to have
- Understanding financial markets, fixed income, interest rates and risk concepts is desirable
- Exposure to optimization, forecasting, time-series analysis, simulation or machine learning, would be preferred
Background
- B. Tech / Dual Degree from IITs
- Open to all branches, with preference for candidates demonstrating strong quantitative, analytical and computational ability
- Prior experience in financial markets, banking, quantitative analytics, data science, modelling, optimization, risk analytics or technology is useful, but not mandatory
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.