Quantitative Researcher - Trading & Execution

Quantitative Researcher – Trading & Execution

The Role

We are seeking an experienced researcher to join the Execution Services team, focusing on systematic execution and trading research globally. This candidate will be part of a team committed to enhancing the firm’s execution processes through quantitative methods and advanced technologies. The role involves close collaboration with portfolio managers, traders, technologists, operations specialists, and brokers to conduct research, develop electronic trading algorithms and solutions, and build analytics and tools.

What you’ll do

The Quantitative Execution Researcher will integrate execution research into trading decisions, focusing on reducing trading costs through rigorous measurement, research, and experimentation. The successful candidate will establish a framework to capture and normalize all datasets necessary for measuring and monitoring systematic execution. Responsibilities include estimating statistical significance in execution performance across algorithms and parameters, maintaining strategy routing tables to probabilistically direct flow across brokers and algorithms, developing and calibrating market impact models for real-time systems and simulations, evaluating academic research relevant to trading costs, market microstructure, and micro-pricing, and providing expertise to the development team on optimal order scheduling, routing, slicing, and venue selection.

What you’ll bring

What you need:

• PhD or master's degree, ideally in mathematics, statistics, computer science, financial engineering, or a related field.
• Minimum of 3 years of experience in execution research and algorithmic trading.
• Self-starter with an entrepreneurial spirit and a passion for quantitative finance.
• Excellent analytical skills with a strong foundation in modeling, statistics, probability, and optimization.
• Strong knowledge of equities trading, market microstructure/micro-pricing, and hedge fund operations.
• Solid programming skills, including but not limited to Linux, KDB/Q, and Python.
• Ability to manage multiple tasks in a fast-paced environment with strong attention to detail.
• Excellent communication skills and the ability to collaborate effectively with others.

We’d love if you had:

• Experience with optimization, machine learning, and data visualization.
• Ability to work independently and identify opportunities to create and improve systems without direction.
• Prior experience in trading signals and/or alpha research is a plus

Who we are  
Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices.

Our Culture
Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, and collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all of our employees with Diversity, Equity, and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people, and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming, and supportive.

The base pay for this role is expected to be between $150,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

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