Fidelity Investmentsposted about 1 month ago
$76,000 - $144,000/Yr
Full-time • Entry Level
Hybrid • New York, NY
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Quantitative Strategist will be responsible for both improving the performance of trading algorithms to meet client objectives and supporting platform analytics. You will join a team of experts responsible for delivering and optimizing bespoke equity trading solutions for asset managers and hedge funds. You will work closely with various teams including sales, product owners and other quantitative strategists to drive revenue. Teamwork, communication, and organization skills are essential for a successful candidate. In close collaboration with fellow quantitative strategists and technologists, you will research, develop, and deploy novel trading algorithms to improve trading efficiency for our clients. You will also leverage your data and programming expertise to drive scalable analytics efforts across the trading platform.

Responsibilities

  • Improve the performance of trading algorithms to meet client objectives.
  • Support platform analytics.
  • Design trading solutions that address clients' complex portfolio implementation and trading challenges.
  • Research, develop, and deploy novel trading algorithms.
  • Drive scalable analytics efforts across the trading platform.
  • Collaborate with sales, product owners, and other quantitative strategists.

Requirements

  • A bachelor's degree in computer science, mathematics, or related field.
  • Hands-on programming experience.
  • Experience self-building low-cost tooling to solve problems and improve working efficiency.
  • Familiarity with UNIX systems and time series data structures.
  • Ability to tell stories with data, leveraging Tableau and other data visualization tools.
  • Series 7, Series 63, and Series 57 will be required within 6 months of hiring.
  • Strong analytical and problem-solving skills.
  • Working knowledge of modern statistical concepts used by data scientists.
  • Familiarity or eagerness to learn trading, equity market microstructure, and execution algorithms.
  • Demonstrated ability to prioritize issues, work efficiently, and independently.
  • Effective verbal and written communication skills.

Nice-to-haves

  • Strong team orientation and ability to function as a team player.
  • Experience in client relationship building.

Benefits

  • Comprehensive health care coverage.
  • Emotional well-being support.
  • Market-leading retirement.
  • Generous paid time off and parental leave.
  • Charitable giving employee match program.
  • Educational assistance including student loan repayment and tuition reimbursement.
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