Data Scientist - Hedge Fund

Upward Trend; New York (NY); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading hedge fund is seeking a mid-senior level Data Scientist to join its Quantitative Research and Data Science team in New York City. The ideal candidate will have 1-3 years of experience in Quantitative Research or Data Analytics in the finance sector, with a strong preference for STEM qualifications. Responsibilities include working with risk models, portfolio optimization, and alpha signal generation. This is a full-time position offering significant career growth opportunities.

Qualifications

• 1-3 years' experience in Quantitative Research, Data Science, or Data Analytics in an Investment environment.
• Strong understanding of applied data science and financial engineering.

Responsibilities

• Working with Risk models.
• Portfolio Optimization and Construction.
• Factor research.
• Alpha signal generation & backtesting.
• Performance attribution.

Skills

Quantitative Research

Data Science

Data Analytics

Statistical Analysis

Financial Engineering

Education

STEM qualifications (postgrad preferred)

Job description

Data Scientist - Alternative Data - Long/Short Hedge Fund

New York

Our client, a multibillion AUM Equity Long/Short Hedge Fund, is currently seeking a Data Scientist to join a growing Quantitative Research and Data Science team in New York City (we also have similar openings in San Francisco and Florida).

The fund was launched by alumni of one of the world's most prestigious hedge funds, and described as the US's "biggest hedge fund startup of the year" when it launched.

This is an opportunity to join one of the fastest growing multimanager platforms at a key stage in its growth, and build a successful career as a Quantitative Researcher.

Responsibilities

• Working with Risk models
• Portfolio Optimization and Construction
• Factor research
• Alpha signal generation & backtesting (e.g. from Alternative Data sources)
• Performance attribution

About you

• The ideal candidate will have 1-3 years' experience of Quantitative Research, Data Science, or Data Analytics in an Investment environment (Hedge Fund, Asset Manager, Investment Bank).
• Strong preference for candidates with STEM qualifications (especially at postgrad level) from elite universities, and a proven understanding of applied data science, statistics, and financial engineering.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Finance and Analyst

Industries: Investment Management