Jobs
Job Description:
The Role
We are seeking a De Fi Quantitative Developer with strong engineering skills to join our London-based team. This role is ideal for a technically strong developer who combines deep experience in De Fi markets and on-chain analytics with the ability to adapt and extend backtesting systems for De Fi as well as ideate on scalable strategies.
You will work closely with quant researchers and analysts to build research infrastructure, design, test, and deploy strategies that capitalize on opportunities across decentralized markets.
Key Responsibilities
Strategy Research & Implementation
- Research and develop yield-generating strategies across De Fi protocols (staking, LPs, lending, re-staking, etc.)
- Extract, clean, and analyze on-chain data to identify inefficiencies, arbitrage opportunities, and risk-adjusted return profiles
- Design and execute robust backtests to validate strategy performance
System Adaptation
- Work with existing research frameworks to integrate De Fi-specific functionality
- Extend and optimize components for on-chain analysis, risk management, and simulated connectivity to decentralized venues
- Implement enhancements in Rust and Python for performance, reliability, and security
Monitoring & Troubleshooting
- Develop metrics and dashboards to monitor strategy performance and market conditions
- Troubleshoot unexpected behaviors and refine strategies based on real-time feedback
- Continuously iterate on models and assumptions to adapt to evolving De Fi ecosystems
Cross-Team Collaboration
- Work closely with the Head of Quant Strategies to align strategy development with business goals
- Present research findings and performance metrics to team and internal stakeholders
- Contribute to thought leadership and internal knowledge sharing on De Fi trends and innovations
The Expertise and Skills You Bring
Technical Expertise
- Strong proficiency in a systems language such as C++/Rust etc.
- Advanced skills in Python, relational databases and SQL/Snowflake
- Experience working with blockchain data (e.g., The Graph, Dune, custom node queries) and trading platforms
- Strong understanding of portfolio construction, risk modeling, and statistical analysis
De Fi & Market Knowledge
- Deep experience with De Fi protocols, protocol mechanics, and smart contracts
- Understanding of liquidity provisioning, staking, lending, and governance mechanisms
- Experience with systematic trading or investment strategies in digital assets
Analytical & Research Skills
- Ability to design statistically sound experiments and backtests
- Skilled at extracting signal from noisy, imperfect datasets
- Structured approach to hypothesis generation, model building, and validation
Professional Experience
- Typically, 5+ years of experience in quantitative development/research
- Prefer 2+ years of experience in digital assets and/or De Fi
- Advanced degree (MSc or PhD) in a quantitative discipline (e.g., Mathematics, Computer Science, Physics, Statistics)
- Experience working in a collaborative, cross-functional environment
Preferred Qualifications
- Prior experience adapting or extending trading systems
- Familiarity with MEV, gas optimization, and Layer 2 scaling solutions
- Experience with trading infrastructure and execution in decentralized markets
- Demonstrated initiative in research, strategy development, and process improvement
The Team
Fidelity Digital Assets® is dedicated to building products and services that help institutions adopt digital assets and innovate within the increasingly digital world of finance. Fidelity Investments began researching blockchain technology and digital assets solutions in 2014, and years of research and development have provided us with the deep expertise necessary to build the future of finance.
Come join the Quantitative Strategies team within Fidelity Digital Assets® to help grow our business initiatives within De Fi and contribute to our research and product capabilities using your insights.
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About Fidelity

Fidelity
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Employees
Chatham
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.8
Career
2.5
Management
1.5
15%
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Pros
Benefits continuation during leave
Structured career path
Certification support
Cons
Poor management practices
Inadequate communication
Heavy micromanagement
Salary Ranges
40 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · AM Quantitative Research Analyst
1 reports
$72,741
total / year
Base
$63,211
Stock
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Bonus
-
$72,741
$72,741
Interview Experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
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Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Offer
4
Background Check
5
Fingerprinting
6
Drug Test
Common Questions
Customer service scenarios
Financial services knowledge
Behavioral questions
Technical cybersecurity concepts
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