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Quantitative Researcher Intern

Quantitative Researcher Intern
New York, US
175,000 - 220,000
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Job Description

The Role

We are seeking an exceptional intern to join our Quantitative Research team in the New York City metro area where they 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 all facets of running a successful quantitative trading business and help it grow and diversify.

What you’ll do

Depending on the portfolio manager team you join, as a Quantitative Researcher Intern you will be directly responsible for furthering our alpha research. You will understand the economics of a fundamental domain, and the corresponding insights that can be gathered from associated alternative data offerings. You will identify compelling differentiating factors, design novel predictive signals, backtest & validate hypotheses. Over the 10-week internship program, you will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative researcher. Additionally, you’ll get the opportunity to network and socialize with peers throughout the internship.

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

We’d love if you had:

  • Previous financial industry experience although it is not required
  • An advanced degree in a quantitative or technical field

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.

The annual base pay for this role is expected to be between $175,000 and $220,000 which will be prorated based on internship start and end date. The expected base pay range is based on information at the time this post was generated. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience and level of education.

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