Quantitative Traders

Huxley; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Huxley is seeking an experienced Quantitative Trader with a proven track record trading Equities, FX, and Futures to develop and optimize quantitative strategies. You will manage risk, analyze markets, and collaborate with researchers and developers to improve systems.

The role requires strong programming skills and a disciplined, data-driven approach, with on-site responsibilities at 1 WTC in New York. Mid-to-senior level candidates are encouraged to apply.

Qualifications

• 3+ years of experience trading Equities, FX, and/or Futures in prop/hedge fund environments.
• Strong understanding of market microstructure, trading mechanics, and liquidity dynamics.
• Proficiency in Python, C++, R, MATLAB or similar languages with backtesting experience.

Responsibilities

• Develop, test, and deploy quantitative trading strategies across Equities, FX, and Futures.
• Conduct market research and statistical analysis to identify opportunities and inefficiencies.
• Analyze large datasets and build predictive models to enhance trading performance.
• Monitor real-time market activity and adjust strategies as conditions evolve.
• Collaborate with researchers, developers and risk teams to improve systems and execution quality.
• Manage portfolio risk through position sizing, hedging and exposure management.
• Evaluate strategy performance and optimize models based on market dynamics.
• Maintain understanding of macro events, market structure and regulatory developments.
• Utilize algorithmic trading platforms and execution technologies to improve efficiency.
• Contribute to the firm's research culture by sharing insights.

Skills

Quantitative Research

Statistical Analysis

Algorithmic Trading

Risk Management

Portfolio Construction

Market Microstructure

Python/C++ Programming

Data Analysis & Modeling

Strategic Thinking

Decision Making Under Pressure

Continuous Improvement Mindset

Education

Bachelor’s/Master’s/Ph.D. in Quantitative fields

Tools

Python

C++

R

MATLAB

SQL

Backtesting Frameworks

Market Data Tools

Job description

We are seeking an experienced Quantitative Trader with a proven track record trading Equities, Foreign Exchange (FX), and Futures markets. The successful candidate will be responsible for developing, implementing, and optimizing quantitative trading strategies, managing risk, and contributing to the firm's overall trading performance.

This role requires a strong combination of quantitative skills, market expertise, programming ability, and disciplined risk management.

Position Overview

Key Responsibilities

• Develop, test, and deploy quantitative trading strategies across Equities, FX, and Futures markets.
• Conduct market research and statistical analysis to identify trading opportunities and inefficiencies.
• Analyze large datasets and build predictive models to enhance trading performance.
• Monitor real-time market activity and adjust trading strategies as market conditions evolve.
• Collaborate with quantitative researchers, developers, and risk management teams to improve trading systems and execution quality.
• Manage portfolio risk through rigorous position sizing, hedging, and exposure management.
• Evaluate strategy performance and continuously optimize models based on market dynamics.
• Maintain a deep understanding of global macroeconomic events, market structure, and regulatory developments.
• Utilize algorithmic trading platforms and execution technologies to improve trade efficiency.
• Contribute to the firm's research culture by sharing insights and best practices.

Required Qualifications

• Bachelor's, Master's, or Ph.D. in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• 3+ years of experience trading Equities, FX, and/or Futures within a proprietary trading firm, hedge fund, investment bank, or asset management environment.
• Strong understanding of market microstructure, trading mechanics, and liquidity dynamics.
• Experience developing systematic and quantitative trading strategies.
• Strong statistical and analytical skills with a data-driven decision-making approach.
• Proficiency in Python, C++, R, MATLAB, or similar quantitative programming languages.
• Experience working with market data, backtesting frameworks, and quantitative research tools.
• Demonstrated track record of profitable trading performance and effective risk management.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience with high-frequency, intraday, statistical arbitrage, market-making, or momentum-based trading strategies.
• Knowledge of machine learning and advanced predictive modeling techniques.
• Familiarity with exchange connectivity, execution algorithms, and low-latency trading infrastructure.
• Experience using SQL, cloud computing platforms, and distributed data processing frameworks.
• Understanding of derivative pricing, volatility modeling, and portfolio optimization techniques.

Key Skills & Competencies

• Quantitative Research
• Statistical Analysis
• Algorithmic Trading
• Risk Management
• Portfolio Construction
• Market Microstructure
• Python/C++ Programming
• Data Analysis & Modeling
• Strategic Thinking
• Decision Making Under Pressure
• Continuous Improvement Mindset

Location: On-Site, 1 WTC

Employment Type: Full-Time

Experience Level: Mid-Level to Senior

This position is ideal for a highly motivated quantitative trader with experience across Equities, FX, and Futures markets who thrives in a fast-paced, performance-driven proprietary trading environment.

EOE Statement

Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.