Job Detail

Balyasny Asset Management

Quick summary

Work type: On-site
Location: New York, NY
Salary: $175,000–$250,000 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k

This role $212k

$127k most similar roles pay here $263k

This role pays more than 77% of similar roles. Most pay $141,383–$208,830 — the shaded band above. At the midpoint, this role pays about $212k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Balyasny Asset Management

Balyasny Asset Management (BAM) is a global multi-manager hedge fund offering diversified investment strategies across equities, macro, commodities, and systematic trading.

Balyasny Asset Management currently has 47 open roles on FindRole.

Listed pay typically runs $175,000–$242,500 across 26 roles with salary data.

Most-posted roles

Job Detail 47

View all roles at Balyasny Asset Management

At a glance

TL;DR · Job Detail

Role Posting Log in to save

We are seeking a Data Scientist with extensive experience in financial datasets to join our team in New York. This senior-level position involves assessing new data requests, validating data quality, and recommending appropriate sources for investment analysis. Day-to-day responsibilities include developing business logic for content quality control, enhancing Python-based data checks, and collaborating with Portfolio Managers on signal research projects. The ideal candidate will have a Master’s or Ph.D. in a quantitative field and at least five years of experience in financial services, along with strong programming skills in Python and SQL, familiarity with cloud platforms like AWS S3 and Snowflake, and expertise in statistical modeling and machine learning. This role is crucial for accelerating the investment research process through rigorous data evaluation and support.

Skills

Python SQL pandas NumPy AWS S3 Redshift Snowflake Airflow Git Jira financial data analysis statistical modeling machine learning data quality assessment data validation data documentation vendor data aggregation CI/CD

What you'll do

Assess and validate new data requests from Portfolio Managers.
Evaluate and recommend appropriate data sources for investment analysis.
Develop and implement business logic for content quality control.
Design data validation processes, including statistical checks.
Enhance Python-based data quality checks during onboarding.
Lead exploratory data analysis and feature engineering for datasets.
Collaborate with PMs to design and execute signal research projects.

What we're looking for

Master’s or Ph.D. in a quantitative field like Computer Science, Mathematics, Physics, Statistics, or Financial Engineering.
5+ years of experience as a data scientist/analyst in financial services.
Strong programming skills in Python and SQL with expertise in pandas and NumPy libraries.
Experience building and maintaining data infrastructure for collection, cleansing, and delivery.
Proven ability to assess, validate, and document data quality for financial datasets.
Familiarity with cloud platforms (AWS S3, Redshift, Snowflake) and workflow orchestration tools.
Expertise in statistical modeling, machine learning, and predictive analytics on financial data.

Save