Schonfeld
Data Scientist
We are seeking a talented individual to join the Data Science team at Schonfeld. The team is responsible for creating high‑impact analytical datasets, conducting deep‑dive research to extract systematic features, and generating forecasts that power our investment strategies.
What You’ll Do As a Data Scientist, you will partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources, building a comprehensive understanding of each dataset and its potential applications. You will collaborate closely with portfolio manager teams to derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process. Additionally, you will leverage your 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. The ideal candidate is passionate about data science methodologies, thrives in a collaborative environment, and possesses a strong interest in financial markets.
What You’ll Bring
5+ years of experience in data science, quantitative research, or a related discipline
Advanced knowledge of Python, SQL, or other programming languages
Proven experience 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
We’d Love If You Had
Experience conducting data analysis on complex financial datasets, such as alternative data and market micro‑structure datasets
Knowledge in programming languages such as C++ and Java
Experience designing, building and testing systematic signals
Experience working with big data analysis
Experience with technologies such as Spark, Kafka, Docker, or Airflow
Who We Are Schonfeld is a global multi‑manager hedge fund that strives to deliver industry‑leading risk‑adjusted returns for our investors. We leverage internal and external portfolio manager teams worldwide, capitalizing on inefficiencies and opportunities within the markets. We invest across four main strategies: Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income.
Our Culture At Schonfeld, we invest in you. We attract and retain top talent by fostering a culture where talent is empowered to continually learn, innovate, and pursue ambitious goals. 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 and educational offerings, opportunities to make an impact, and community initiatives that promote inclusion and purpose beyond the firm’s walls.
Base Pay:
$185,000 – $225,000. You may also be eligible for a performance bonus and a competitive benefits package.
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What You’ll Do As a Data Scientist, you will partner with market data specialists, data engineers, and sector data analysts to ingest, clean, and explore new data sources, building a comprehensive understanding of each dataset and its potential applications. You will collaborate closely with portfolio manager teams to derive insights from complex datasets and translate them into systematic features that feed the alpha‑generation process. Additionally, you will leverage your 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. The ideal candidate is passionate about data science methodologies, thrives in a collaborative environment, and possesses a strong interest in financial markets.
What You’ll Bring
5+ years of experience in data science, quantitative research, or a related discipline
Advanced knowledge of Python, SQL, or other programming languages
Proven experience 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
We’d Love If You Had
Experience conducting data analysis on complex financial datasets, such as alternative data and market micro‑structure datasets
Knowledge in programming languages such as C++ and Java
Experience designing, building and testing systematic signals
Experience working with big data analysis
Experience with technologies such as Spark, Kafka, Docker, or Airflow
Who We Are Schonfeld is a global multi‑manager hedge fund that strives to deliver industry‑leading risk‑adjusted returns for our investors. We leverage internal and external portfolio manager teams worldwide, capitalizing on inefficiencies and opportunities within the markets. We invest across four main strategies: Quant, Tactical, Fundamental Equity, and Discretionary Macro & Fixed Income.
Our Culture At Schonfeld, we invest in you. We attract and retain top talent by fostering a culture where talent is empowered to continually learn, innovate, and pursue ambitious goals. 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 and educational offerings, opportunities to make an impact, and community initiatives that promote inclusion and purpose beyond the firm’s walls.
Base Pay:
$185,000 – $225,000. You may also be eligible for a performance bonus and a competitive benefits package.
#J-18808-Ljbffr