Finance Manager managing financial operations and ensuring adherence to government contract financial requirements. Tracking, analyzing, and reporting financial information for operational efficiency.
About the role
- Senior Risk Investment Manager at DUMAC shaping insights for Duke’s endowment across markets and strategies. Contributing to quantitative processes and developing analytical models for investment research.
Responsibilities
- Perform quantitative and qualitative analysis on investment products and portfolio management across public and private market strategies
- Build, maintain, and enhance risk allocation and global exposure reports; communicate findings weekly to the Chief Investment Officer (CIO) and investment teams
- Partner with the Engineering team to expand and optimize the DUMAC data warehouse and its analytical capabilities
- Support active monitoring and hedging of currency-related risks
- Develop and improve tools for quantitative analysis of manager selection, monitoring, and risk assessment—including time-series modeling and extreme-scenario models
- Support oversight of public markets portfolios, model private investment capital calls and distributions, and perform broad asset-allocation analysis
- Participate in project roadmap development and help guide analysts and interns
- Apply strong econometric, statistical, mathematical, and financial modeling skills to research tasks and analytical deliverables
- Utilize R, Python, or similar programming tools to manage, analyze, and interpret large datasets
- Prepare and deliver high-quality written materials and presentations using PowerPoint and related tools
- Work independently with appropriate guidance while contributing effectively in a team-centered environment
- Implement A.I. and machine-learning techniques where appropriate to improve forecasting, modeling, or analytical efficiency
- Utilize Bloomberg or FactSet, including APIs, to support research and analysis
Requirements
- Master's degree in Finance, Math, Computer Science and/or related fields
- CFA is strongly recommended
- 5 years of highly comparable work experience
- Advanced quantitative, econometric, statistical, and mathematical capabilities
- Strong programming skills in R, Python, or comparable languages
- Demonstrated ability to manage and interpret large datasets
- Excellent written and verbal communication skills, including polished presentation development
- Familiarity with AI/ML applications in financial contexts
- Experience using Bloomberg or FactSet data tools and APIs
Benefits
- comprehensive and competitive medical and dental care programs
- generous retirement benefits
- wide array of family-friendly and cultural programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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