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Financial Data Scientist Quant Jobs (NOW HIRING)

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Work with large data environments storing financial transactions or other critical data, including ... Apply quantitative and qualitative analysis techniques, statistical sampling, regression analysis ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Work with large data environments storing financial transactions or other critical data, including ... Apply quantitative and qualitative analysis techniques, statistical sampling, regression analysis ...

Data Scientist

Washington, DC · On-site

$90K - $130K/yr

Work with large data environments storing financial transactions or other critical data, including ... Apply quantitative and qualitative analysis techniques, statistical sampling, regression analysis ...

NY · On-site

$100 - $125/hr

Investment Data Scientist - Python & Portfolio Analytics (Hybrid)Skip to main contentThis website ... Quantitative finance: portfolio construction methods, risk modeling, and financial data analysis.

Data Scientist

Chesterfield, MO · On-site

$125 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... Science, Quantitative Finance, Business Analytics, or a closely related quantitative field.

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Finance, Business Analytics, or a closely related quantitative field. Minimum 2-year of ...

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Science, Quantitative Finance, Business Analytics, or a closely related quantitative field. • ...

The Data Scientist will be an integral part of the Bunge Economic Analysis team, leveraging ... Finance, Business Analytics, or a closely related quantitative field. Minimum 2-year of ...

Data Scientist

Washington, DC · On-site

$150 - $200/hr

Program Overview A federal agency manages financial data analysis to ensure compliance, detect ... Develop and implement analytical models and algorithms using quantitative techniques such as ...

This senior role sits at the intersection of data science and finance. You'll own the most ... What You'll Bring Required * 7+ years in data science, quantitative analytics, or a related field ...

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Showing results 1-20

Financial Data Scientist Quant information

See salary details

$37.5K

$122.7K

$196.5K

How much do financial data scientist quant jobs pay per year?

As of Sep 9, 2026, the average yearly pay for financial data scientist quant in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Financial Data Scientist Quant vs Financial Data Scientist Quant?

AspectFinancial Data Scientist QuantFinancial Data Scientist Quant
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like CFA or FRMSame as Financial Data Scientist Quant
Work EnvironmentFinancial firms, hedge funds, investment banksSame as Financial Data Scientist Quant
Employer & Industry UsageFinancial industry, quantitative trading, risk managementSame as Financial Data Scientist Quant
Common Search & ComparisonFinancial Data Scientist QuantFinancial Data Scientist Quant

The roles of Financial Data Scientist Quant are highly similar, often overlapping in credentials, work environment, and industry usage. Both positions focus on applying quantitative methods to financial data, making them essentially equivalent in most contexts.

What cities are hiring for Financial Data Scientist Quant jobs?

Cities with the most Financial Data Scientist Quant job openings:

What states have the most Financial Data Scientist Quant jobs?

States with the most job openings for Financial Data Scientist Quant jobs include:

What are popular job titles related to Financial Data Scientist Quant jobs?

For Financial Data Scientist Quant jobs, the most frequently searched job titles are:

Data Scientist, Global Quantitative Research

Atlanta, GA • On-site

Intercontinental Exchange Holdings, Inc.
Finance and Insurance • 5 - 10K employees

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Overview

Job Purpose

The Data Scientist will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role of this position will be to support the design and development of financial data models and provide data support for the Quant and Risk divisions. The role will use a variety of data science, analytics and engineering tools and techniques to solve diverse, data focused problems across the business. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions, defend assumptions and be highly detail oriented. This role requires frequent interaction with Quant Research, Risk Managers, Developers and Senior Management.

Responsibilities

  • Perform data exploration and statistical analysis for quantitative research purposes
  • Data preparation, validation, and visualization of various data sets such as time series of financial derivatives
  • Build production quality, data driven software solutions to support data management and analysis
  • Develop ETL applications to support core quant and risk team data requirements
  • Diagnose and profile data issues and recommend ways to improve data reliability, efficiency, and quality
  • Coordinate with quantitative research and business experts to develop and refine data management best practices, policies, and procedures
  • Provide documentations and/or presentations to illustrate methods, techniques, and findings for individuals with diverse professional backgrounds
  • Manage large data sets and interpret diverse database architecture across various platforms such as Oracle, Postgres, Snowflake, etc.
  • Serve as a liaison between technology, operations, product management and the Financial Engineering teams
  • Engage in innovative research tasks in the quantitative finance and data science field

Knowledge and Experience

  • Master's degree in Data Science, Engineering, Mathematics, Statistics or similar field
  • Statistical programming experience required, with strong preference for Python. Experience with R, MATLAB, C/C++ or Java is also valued
  • Working knowledge of SQL and experience working with relational databases preferred
  • Ability to work in a high-performance, high-velocity environment
  • Strong analytical and organizational skills with acute attention to detail
  • Strong communication skills
  • Customer focused and results oriented
  • Advanced Statistics knowledge related to Time Series preferred
  • Experience with code versioning tools such as Git preferred
  • Experience in Quantitative Finance and/or Financial Derivatives
----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME