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Data Scientist

New York, NY, US • Posted 10 hours ago • Updated 10 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Equities
Foreign Exchange
Predictive Modelling
Quantitative Research
Trading
Data Analysis
Mentorship
Collaboration
Partnership
Regulatory Compliance
Research
Economics
Mathematics
Statistics
Data Science
Computer Science
Python
SQL
Analytical Skill
Attention To Detail
Sourcing
Finance

Summary

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
Generate novel ideas for enhanced proprietary data products.
Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
Transform firm approved raw datasets into robust features for our systematic models.
Build analytical tools to supplement our shared research framework.

Requirements

BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
Programming in Python (or a comparable language) and working knowledge of SQL.
Strong analytical and quantitative skills.
Willingness to take ownership of their work.
Ability to work both independently and collaboratively within a team.
Strong desire to deliver high quality results in a timely fashion.
High attention to detail.
Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
Commitment to the highest ethical standards.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183302
Position Id: a611b39c617812dbd40764a896a4ae36
Posted 10 hours ago

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