
Financial services company
Principal Quant Developer at Fidelity
About the role
Job Description:
The Role
Principal Quantitative Developer is a core software engineering role in our dynamic, fast-paced quantitative development team. You will be ‘embedded’ within the quantitative research team, and you will be partner with the investment teams on various projects including portfolio construction, risk management, and alpha research. You will contribute to building high quality, robust, and efficient analytical software solutions that will be used to improve investment processes. You and tour team will be responsible for developing, running, and supporting various Quantitative Tools in cloud environment and communicate the same with customers.
- Lead/Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
- Intuitively apply advanced analytics and quantitative concepts to support investment needs and develop new solutions.
- Add scale, reliability, and repeatability to research through software development standard methodologies.
- Assist Research teams in developing new models and products that will provide an advantage to the organization in the marketplace.
- Thoughtfully apply sophisticated analytics and quantitative concepts to support investment needs and develop new solutions.
- Adaptive and effective team player with strong collaboration
The Expertise and Skills You Bring
- Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics
- 8 years of experience in complex software development and working with investment professionals
- Deep understanding and implementation of software excellence concepts (Reliability, Extendibility, Resiliency, Flexibility, Pluggability, Intuitive Problem Solving, Risk mitigation, Tech debt, Scope, Estimation, Quality, CI/CD, Unit testing, Functional testing, Load testing, Parallel Processing, Resource Synchronization, Performance, Monitoring, Alerts, Logging, Tracing, Observability, Supportability etc.)
- Advanced Experience in Analytical/Software Engineering skills including Python, Java, SQL and Linux.
- Sophisticated understanding of quantitative techniques and methods, statistics, and econometrics – including probability, linear regression, and time series data analysis
- Own the implementation of a research project through the entire software development lifecycle applying a full-stack implementation.
- Substantial Experience with AWS cloud environment development and deployment is a plus.
- Good experience in either equities, fixed income, or alternative asset classes
- Consistent track record in hands-on ‘development ownership’ of complex software solutions.
- Ability to effectively connect with multiple partners, including fundamental and quantitative researchers, divisional partners and senior management
- Thrive in working with fast-paced competing requirements and effectively delivering business needs
The Team
The Advance Strategies and Research (ASR) Quantitative Development team is part of Asset Management’s Quantitative Research and Investment Technology group that partners with various investment teams and projects. We build and ‘own’ high quality, robust, adaptive, resilient solutions that are critical to investment management, quantitative analysis, and new product development.
The base salary range for this position is $107,000-216,000 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.
Certifications:
Category:
Information Technology:
Required skills
Software engineering
Quantitative development
Analytics
Cloud development
Full-stack development
Risk management domain knowledge
Research tooling
SDLC leadership
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About Fidelity

Fidelity
BootstrappedFidelity Investments, formerly known as Fidelity Management & Research (FMR), owned by FMR LLC and headquartered in Boston, Massachusetts, United States, provides financial services.
1-50
Employees
Chatham
Headquarters
$150B
Valuation
Reviews
10 reviews
3.6
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
3.7
Career
2.8
Management
3.2
65%
Recommend to a friend
Pros
Supportive management and employee well-being focus
Good work-life balance and flexible hours
Excellent benefits and retirement plans
Cons
Low compensation and starting salary
Limited growth opportunities
High workload and stressful during peak times
Salary Ranges
47 data points
Mid/L4
Senior/L5
Mid/L4 · Data Scientist
1 reports
$133,712
total per year
Base
$102,856
Stock
-
Bonus
-
$133,712
$133,712
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Application Review
2
HR Screen
3
Phone Interview
4
Background Check
5
Offer Decision
Common questions
Behavioral/STAR
Customer Service Scenarios
Financial Services Knowledge
Past Experience
Culture Fit
Latest updates
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