Crypto Quantitative Researcher

Overview

On Site
Full Time

Skills

Dynamics
Statistical Models
Collaboration
Quantitative Analysis
Strategy Development
HFT
Trading
C++
Performance Tuning
Cryptography
Derivatives
Microsoft Exchange
Data Analysis
Python
Research
Profit And Loss

Job Details

Quantitative Researcher - HFT Crypto | Market Making | C++ | Alpha Research

We're partnering with a leading crypto market-making and HFT firm to hire a Quantitative Researcher with 3-4 years of experience in building and deploying high-frequency trading strategies across centralized exchanges (futures, spot, perpetuals). This role is ideal for someone who thrives in low-latency environments and wants to work at the intersection of alpha research, execution, and performance optimization.

Responsibilities:
  • Design, test, and implement high-frequency trading strategies across centralized crypto markets
  • Conduct alpha research leveraging order book dynamics, market microstructure, and statistical modeling
  • Work closely with engineers to optimize infrastructure for ultra-low latency execution
  • Analyze live trading data and iterate on models to improve PnL, Sharpe, and risk-adjusted returns
  • Collaborate with the broader quant and trading team to identify new market opportunities and inefficiencies
  • Own end-to-end strategy development and deployment lifecycle

Qualifications:
  • 3-4 years of experience in HFT, proprietary trading, or systematic crypto firms
  • Proven track record of live strategy deployment and alpha generation
  • Strong proficiency in C++ with exposure to performance optimization in latency-sensitive environments
  • Deep understanding of market microstructure, especially in crypto spot and derivatives
  • Familiarity with exchange APIs (e.g., Binance, OKX, Bybit, Deribit)
  • Strong statistical and data analysis skills; Python or similar for research is a plus
  • Self-driven, comfortable working in a fast-paced, iterative environment

Location: NYC preferred, remote options available for experienced candidates
Compensation: Competitive base + performance-based bonus + potential PnL split structure
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