Sr. Quantitative Developer

Company Overview

Our client is a well-established, technology-focused investment firm with a team of approximately 300 professionals across seven key offices. Managing around $5.5 billion in investor capital, the firm has evolved since its founding in 2005 from an electronic and floor-based options market-making operation to a multi-strategy hedge fund. Today, they deploy strategies spanning volatility, equity long/short, quantitative investing, and macroeconomic trends.

Role Summary

The firm's Central Strategies team is seeking a Senior Quantitative Developer to lead the development and optimization of a sophisticated technical framework that supports their automated equity trading processes. This position requires a combination of technical expertise, strategic thinking, and a collaborative mindset. The ideal candidate will have a direct influence on the firm's technological direction, actively contributing to the trading team's profitability.

Key Responsibilities

• Leadership & Collaboration: Partner with quantitative developers, researchers, and portfolio managers to drive innovation and optimize systems.

• Infrastructure Development: Architect and refine platforms supporting alpha generation, portfolio construction, and algorithmic trading. Responsibilities include:

  • Designing and managing a high-performance data warehouse, pipelines, and caching systems integral to alpha modeling.

  • Improving code efficiency and reporting tools for signal generation.

  • Developing and maintaining research and production infrastructure across multiple asset classes and timeframes.

• Cross-Team Coordination: Work closely with other departments, including Risk and Technology, to enhance operational efficiency.

• Analytical Tool Development: Create and implement tools for strategy risk assessment, trade execution analysis, and cost analysis, leveraging data from proprietary databases.

• Project Ownership: Oversee projects from conceptualization to deployment, ensuring successful execution across technical domains.

Ideal Candidate Profile

• Technical Architect: Skilled at designing scalable, resilient systems and technical pipelines that are both efficient and adaptable.

• Strategic Thinker: Approaches problem-solving with foresight, aligning technical solutions with broader business objectives.

• Problem-Solver: Capable of dissecting complex challenges and devising innovative, practical solutions.

• Adaptable: Thrives in a dynamic environment, able to pivot strategies and methodologies as needed.

• Collaborative & Independent: Comfortable both leading team discussions and working autonomously on critical projects.

• Continuous Improvement Advocate: Always seeking to refine processes, integrating cutting-edge technologies and methodologies.

Required Skills & Qualifications

• Programming Languages:

  • Required: Python (pandas, numpy), Java (C++ also acceptable), SQL, and relational database experience.

  • Preferred: UNIX/Linux familiarity, experience with Airflow, and CI/CD pipeline management.

• Data Analysis Expertise: Ability to explore, clean, and analyze datasets, ensuring accuracy and efficiency in data management.

• System Design & Architecture: Experience designing scalable systems for backtesting trading signals and production deployment. Knowledge of design patterns that facilitate research across asset classes and timeframes.

• Educational Background: Bachelor's or advanced degree in Computer Science, Engineering, Statistics, or a related quantitative discipline.

• Machine Learning Knowledge (Bonus): Familiarity with machine learning/deep learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is a plus.

This role is ideal for a forward-thinking quantitative developer looking to contribute to a cutting-edge investment team while working with top-tier technology and research professionals.