Portfolio Manager
NYC Staffing - New York
Work at NYC Staffing
Overview
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Overview
Portfolio Manager
Simplify Asset Management seeks a highly skilled Portfolio Manager to oversee its exchange-traded fund ("ETF") portfolios. The role requires leveraging quantitative expertise and data science techniques to meet investment objectives while ensuring compliance with regulatory standards. The Portfolio Manager will work closely with the CIO, providing critical analytical and strategic support to optimize fund performance.
Responsibilities:
- Design, develop, and maintain trading algorithms and back-testing models to optimize portfolio performance.
- Conduct in-depth analysis of market trends using data science and big data analytics using Python to inform trading strategies.
- Automate the generation of reports and materials for portfolio management and sales teams.
- Manage ETF portfolios to meet performance objectives, ensuring compliance with regulatory and operational requirements.
- Implement portfolio rebalances and reconstitutions, considering trading costs, tax implications, and market impact.
- Collaborate with internal and external partners to ensure timely and accurate completion of ETF basket processes and reconciliations.
Minimum Requirements:
Bachelor's degree in a quantitative field such as Economics, Engineering, Mathematics, or Physics (or its foreign equivalent), plus 7 years of relevant experience as a Portfolio Manager, Quantitative Strategist or Analyst, Financial Analyst, Data Scientist or similar position; OR Master's degree in a quantitative field such as Economics, Engineering, Mathematics, or Physics (or its foreign equivalent), plus 5 years of relevant experience as a Portfolio Manager, Quantitative Strategist or Analyst, Financial Analyst, Data Scientist or similar position; AND experience must include the following, which may have been gained concurrently:
- 3 years of relevant experience in the finance or financial services industry;
- Advanced proficiency in Python, R, and SQL, with a focus on data science and market analytics;
- Expertise using Lean programming to develop algorithms and back-testing strategies, and to operate real-time trading systems;
- Deep knowledge of derivatives, financial products, and risk management strategies;
- Strong understanding of market dynamics, with experience in quantitative analysis and exposure to live algorithmic trading systems; and
- Experience working in a research-driven environment, applying first-principles approaches to portfolio management.
Full-time (40 hours/week). Position is located at 200 Broadway, Flr 3, New York, NY. Minimum Salary: 210,000 Maximum Salary: 260,000 Salary Unit: Yearly