
Portfolio Manager, Quant Strategy
Leibniz Group
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
About the role
- Oversee the operation of your systematized investment strategy
- Participate in all aspects of the quant trading process, including idea generation, strategy research, development, implementation, API connectivity, and portfolio management
- Maintain regular communication with the internal investment committee and clients
- Research and integrate new data sets to inform investment decisions
- Conduct backtesting to assess the performance and risk of investment strategies
- Engage in market microstructure research and alpha signal analysis to identify new opportunities and improve investment outcomes.
Requirements
- Minimum 5+ years of demonstrated success managing your own systematized investment strategy, with a preference for experience in Futures, Equities or Spot FX and a Sharpe ratio of at least 1.5
- High-level programming and quantitative skills
- Advanced degree in a quantitative field such as Mathematics, Physics, or Computer Science from a leading university
- Strong track record of exceptional performance, ideally achieved at well-known firms
- Self-motivated, results-oriented approach with a strong commitment to continual improvement
- A desire to work in a flat organizational structure with a culture of mutual respect and collaboration.
Benefits
- Potentially flexible location
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
quantitative skillsprogrammingbacktestingAPI connectivityportfolio managementdata integrationalpha signal analysismarket microstructure researchinvestment strategy developmentinvestment strategy implementation
Soft skills
self-motivatedresults-orientedcommitment to continual improvementcommunicationcollaborationmutual respect
Certifications
advanced degree in Mathematicsadvanced degree in Physicsadvanced degree in Computer Science