Associate, Loans Strat, Group Strategic Analytics

Deutsche Bank•New York, NY

8d•$150,000 - $163,000•Onsite

About The Position

Deutsche Bank Securities, Inc. seeks an Associate, Loans Strat, Group Strategic Analytics in New York, NY to develop valuation methodologies tailored to hold-for-maturity accrual businesses. Requires a Master’s degree in Mathematics or a related quantitative field or equivalent and one (1) year of experience developing quantitative analytics applications in Python utilizing Pandas and NumPy to support financial valuation, risk measurement, and large-scale data processing; designing, implementing, and maintaining production reporting systems for multi-asset portfolios, including report generation workflows and core calculation logic; providing production support for quantitative systems by performing root cause analysis of errors and deploying fixes; building financial calculation engines to support index computation, performance attribution, and accrual-based analytics; applying relational database design and SQL query development for structured storage and retrieval of large-scale financial data; conducting multi-asset financial instrument analytics, including equity index computation, performance attribution, and portfolio-level risk measurement; designing and implementing automated workflow tools to streamline repetitive operational processes in financial technology environments; performing trade and portfolio level profit and loss calculations using Python and C++; performing large-scale data ingestion, data model design, and data pipeline implementation using SQL and Oracle APIs for enterprise financial datasets; developing front-end interfaces and web pages for valuation and reporting applications using HTML, JavaScript, and TypeScript; and utilizing CI/CD pipelines including Git to automate code compilation, testing, and deployment. Salary range: $150,000 - $163,000/year. This position is eligible for Deutsche Bank's Employee Referral Incentive Program.

Requirements

Master’s degree in Mathematics or a related quantitative field or equivalent
One (1) year of experience developing quantitative analytics applications in Python utilizing Pandas and NumPy
Experience supporting financial valuation, risk measurement, and large-scale data processing
Experience designing, implementing, and maintaining production reporting systems for multi-asset portfolios, including report generation workflows and core calculation logic
Experience providing production support for quantitative systems by performing root cause analysis of errors and deploying fixes
Experience building financial calculation engines to support index computation, performance attribution, and accrual-based analytics
Experience applying relational database design and SQL query development for structured storage and retrieval of large-scale financial data
Experience conducting multi-asset financial instrument analytics, including equity index computation, performance attribution, and portfolio-level risk measurement
Experience designing and implementing automated workflow tools to streamline repetitive operational processes in financial technology environments
Experience performing trade and portfolio level profit and loss calculations using Python and C++
Experience performing large-scale data ingestion, data model design, and data pipeline implementation using SQL and Oracle APIs for enterprise financial datasets
Experience developing front-end interfaces and web pages for valuation and reporting applications using HTML, JavaScript, and TypeScript
Experience utilizing CI/CD pipelines including Git to automate code compilation, testing, and deployment

Responsibilities

Develop valuation methodologies tailored to hold-for-maturity accrual businesses.
Develop quantitative analytics applications in Python utilizing Pandas and NumPy to support financial valuation, risk measurement, and large-scale data processing.
Design, implement, and maintain production reporting systems for multi-asset portfolios, including report generation workflows and core calculation logic.
Provide production support for quantitative systems by performing root cause analysis of errors and deploying fixes.
Build financial calculation engines to support index computation, performance attribution, and accrual-based analytics.
Apply relational database design and SQL query development for structured storage and retrieval of large-scale financial data.
Conduct multi-asset financial instrument analytics, including equity index computation, performance attribution, and portfolio-level risk measurement.
Design and implement automated workflow tools to streamline repetitive operational processes in financial technology environments.
Perform trade and portfolio level profit and loss calculations using Python and C++.
Perform large-scale data ingestion, data model design, and data pipeline implementation using SQL and Oracle APIs for enterprise financial datasets.
Develop front-end interfaces and web pages for valuation and reporting applications using HTML, JavaScript, and TypeScript.
Utilize CI/CD pipelines including Git to automate code compilation, testing, and deployment.