Quant Researcher

Quant Researcher

Job Type:

Direct-Hire

Location

New York

Industry:

Crypto/Web3

Category:

Quant

Compensation Range:

$200,000 - $250,000 Per Year

Job id:

25027

Additional Compensation Info:

250000

Rich Text Widget

Quantitative Researcher (Digital Assets)

Location: Remote (US Eastern Time Zone)

About the Opportunity Join a leading innovator in cross-chain infrastructure and decentralized finance as we scale our next-generation trading and execution platforms. We are looking for a mathematically-minded Quantitative Researcher to design sophisticated strategies that optimize capital efficiency and execution across the evolving digital asset landscape. This is a high-impact role where your work will directly influence the performance of cutting-edge automated inventory and trading systems.

Responsibilities

  • System Optimization: Enhance the economic efficiency of automated execution infrastructure by minimizing latency and refining solver mechanisms.

  • Strategy Development: Build and deploy sophisticated mathematical models for liquidity provision and statistical arbitrage across both centralized and decentralized environments.

  • Capital Management: Design automated rebalancing protocols to ensure maximum capital utility across various network ecosystems.

  • Research & Alpha Generation: Analyze emerging decentralized finance primitives and protocols to uncover and exploit novel market opportunities.

  • Infrastructure Engineering: Collaborate on the development of low-latency systems, writing high-performance code for mission-critical trading components.

Requirements

  • Proven Track Record: At least 4 years of professional experience in quantitative research, specifically within a high-performing delta-one trading environment.

  • Technical Proficiency: Expert-level Python for data analysis and research, paired with the ability to write performance-critical systems in Rust.

  • Mathematical Foundations: Exceptional command of probability theory, statistics, and various numerical modeling methods.

  • Analytical Depth: Demonstrated capability in managing large-scale data sets and developing complex predictive models.

  • Domain Interest: A deep fascination with blockchain architecture and decentralized financial systems; prior experience in digital asset trading or intent-based systems is highly valued.

Preferred Qualifications

  • Direct experience engineering intent-based execution frameworks or cross-chain liquidity solutions.

  • History of successfully deploying non-traditional alpha-seeking strategies in volatile market environments.

Compensation & Benefits

  • Competitive base salary and equity participation (token-based incentives).

  • Performance-driven discretionary bonus structure.

  • Comprehensive healthcare premium reimbursements and 401(k) program.

  • Flexible "work from anywhere" policy (US work authorization required).

  • Generous time-off policy and high-end hardware provided.

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