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

Key technologies and capabilities for this role

PythonSQLfeature engineeringmachine learningquantitative analysisstatistical modelingmodel trainingmodel evaluationmodel deploymentfinancial marketsequityfuturesfixed incomeback-testingC++Java

Questions & Answers

Common questions about this position

What experience level is required for the Data Scientist role?

The role requires 5+ years of experience in data science, quantitative research, or a related discipline.

What technical skills are essential for this position?

Candidates need advanced knowledge of Python, SQL, or other programming languages, proven experience in quantitative analysis using statistical and machine learning packages, and deep understanding of feature engineering, model training, evaluation, and deployment.

What education is required for the Data Scientist position?

A Master’s or PhD degree in a quantitative field such as data science, statistics, or financial engineering is required.

What is the company culture like at Schonfeld?

Schonfeld fosters a culture where talent is empowered to continually learn, innovate, and pursue ambitious goals, with a focus on attracting and retaining top talent to achieve exceptional outcomes.

What makes a strong candidate for this Data Scientist role?

A strong candidate has the required 5+ years of experience, advanced programming skills in Python/SQL, expertise in quantitative analysis and ML, knowledge of financial asset classes, a Master's or PhD in a quantitative field, plus nice-to-haves like experience with financial datasets, C++/Java, big data tools, and systematic signals.

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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