Data Scientist at Schonfeld

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

5+ years experience in data science, quantitative research, or related discipline
Advanced knowledge of Python, SQL, or other programming languages
Proven experience in conducting quantitative analysis using statistical and machine learning packages
Deep understanding of feature engineering, model training, evaluation, and deployment
Knowledge of financial asset classes such as equity, futures, and fixed income
Attention to detail and strong communication skills
Master’s or PhD degree in a quantitative field such as data science, statistics, or financial engineering

Responsibilities

Partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources
Build a comprehensive understanding of each dataset and its potential applications
Collaborate closely with portfolio manager teams to derive insights from complex datasets
Translate insights into systematic features that feed the alpha-generation process
Leverage domain expertise to produce curated data products across multiple financial asset classes to standardize research
Conduct quantitative analysis to generate ideas and validate hypotheses through back-testing

Skills

Python

SQL

feature engineering

machine learning

quantitative analysis

statistical modeling

model training

model evaluation

model deployment

financial markets

equity

futures

fixed income

back-testing

C++

Java

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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