2026 Entry Level Quant Researcher - Austin at Schonfeld

Austin, Texas, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Quantitative Trading, FinanceIndustries

Requirements

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

Responsibilities

Work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of algorithms for prediction, trade execution, portfolio construction, risk management, among others
Contribute to multiple facets of running a successful quantitative trading business
Further alpha research depending on the portfolio manager team
Gain insight into quantitative techniques and their benefits
Identify compelling differentiating factors
Design novel predictive signals
Backtest and validate hypotheses
Apply cutting edge AI tools to enhance coding and analysis productivity
Collaborate with senior team members to expand skills

Skills

Python

C++

Java

SQL

probability

statistics

machine learning

time-series analysis

forecasting

pattern recognition

NLP

Schonfeld

Multi-manager investment platform for diverse strategies

About Schonfeld

Schonfeld Strategic Advisors is a multi-manager investment platform that invests capital with internal and partner portfolio managers across four main strategies: quantitative, fundamental equity, tactical trading, and discretionary macro & fixed income. The firm provides portfolio managers with the autonomy and support needed to maximize their business potential while leveraging proprietary technology and risk analytics to identify market opportunities. Schonfeld serves institutional investors and high-net-worth individuals, focusing on generating returns through strategic investments and effective risk management. Its goal is to capitalize on market inefficiencies and expand its investment strategies globally.

New York City, New YorkHeadquarters

1988Year Founded

$1,464MTotal Funding

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Performance Bonus

Professional Development Budget

Risks

Departure of key Asia personnel may disrupt regional operations and growth.

New stakes in various companies expose Schonfeld to market volatility and sector risks.

New CTO appointment may lead to strategic shifts impacting current operations.

Differentiation

Schonfeld invests in diverse strategies: quantitative, fundamental equity, tactical trading, and macro.

The firm leverages proprietary technology and risk analytics for market opportunities.

Schonfeld offers global exposure across Americas, Europe, and Asia with multiple asset classes.

Upsides

AI-driven trading enhances Schonfeld's quantitative strategies and risk analytics.

Thematic ETFs in tech and healthcare offer high-growth investment opportunities for Schonfeld.

Alternative data integration provides Schonfeld competitive advantages in market insights.

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