2026 Entry Level Quant Researcher - Austin at Schonfeld

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Programming, Statistics, Machine Learning, Time-Series Analysis, Pattern Recognition, NLP, Problem-Solving, Attention to Detail

Industry

Financial Services

Description

The Role We are seeking exceptional graduate to join our Quantitative Research team in the Austin metro area. As a Quant Researcher you will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, risk management, among others. You will have an opportunity to meaningfully contribute to multiple facets of running a successful quantitative trading business and help it grow and diversify. This is a high‑impact role with clear ownership, mentorship, and visibility. What you’ll do Depending on the portfolio manager team you join, as a Quantitative Researcher you will be directly responsible for furthering our alpha research. You will gain insight into quantitative techniques and their benefits. You will identify compelling differentiating factors, design novel predictive signals, backtest & validate hypotheses. You will have the opportunity to apply cutting edge AI tools to enhance your coding and analysis productivity. You will have the opportunity to collaborate with senior team members to expand your skills. What you need: • A Bachelor’s, Master’s, or PhD degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in your academic program) • Excellent programming skills in languages such as Python, C, C++, Java, SQL, or R • Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis and forecasting, pattern recognition, NLP). • The ability to communicate research ideas clearly and succinctly • Creative problem-solving skills and experience working with real-world datasets • Strong attention to detail • Previous financial industry experience is a plus but it is not required 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, 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.

Responsibilities

As a Quant Researcher, you will work on research projects to design predictive signals and enhance algorithms for various aspects of quantitative trading. You will collaborate with other researchers and developers to contribute to the growth and diversification of the trading business.