Description

Job Description:

The Role

The Quantitative Strategist will be responsible for both improving the performance of trading algorithms to meet client objectives and supporting platform analytics.

The Expertise and Skills You Bring

• 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 your own 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, including visualization techniques using Python, R, or KDB
• 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 appropriate to all levels of internal and external customers
• You bring a strong team orientation and ability to function as a team player
• Becoming a trusted partner with our clients through thoughtful consultation and relationship building
• Designing trading solutions that address our clients' most complex portfolio implementation and trading challenges
• Improving client satisfaction to ultimately drive revenue to Electronic Trading team
  

The Team

The Quantitative Strategist 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.

Note: Fidelity will not provide immigration sponsorship for this position.
The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.

Certifications:
Series 07 - FINRA, Series 57 - FINRA, Series 63 - FINRA

Category:

Data Analytics and Insights

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