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Quantitative Risk Python Jobs (NOW HIRING)

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · On-site

$134K - $176K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

DTCC

Senior Quantitative Software Engineer

Jersey City, NJ · Hybrid

$127K - $168K/yr

Support quantitative risk model implementations to support the Financial Risk Management department * Design, build, and maintain data pipelines leveraging Python, Snowflake, and relational databases

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Quantitative Risk Python information

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$98K

$169.7K

$259.5K

How much do quantitative risk python jobs pay per year?

As of Jun 6, 2026, the average yearly pay for quantitative risk python in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Risk Python vs Quantitative Analyst?

AspectQuantitative Risk PythonQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or related field; Python programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentFinancial institutions, risk management teams, data analysis rolesInvestment firms, banks, asset management companies
Common UsageDeveloping risk models, automating risk calculations, data analysisMarket analysis, portfolio management, financial modeling

While both roles require strong quantitative skills and finance knowledge, Quantitative Risk Python focuses on developing and implementing risk models using Python, whereas a Quantitative Analyst typically performs broader financial analysis and modeling across various platforms.

What cities are hiring for Quantitative Risk Python jobs? Cities with the most Quantitative Risk Python job openings:
Infographic showing various Quantitative Risk Python job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Senior Quantitative Risk Manager - BSA/AML

Senior Quantitative Risk Manager - BSA/AML

M&T Bank

Buffalo, NY • On-site

$148K - $247K/yr

Full-time

Posted 18 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 180 frontline employees who took The Breakroom Quiz

66th of 141 rated banks

Job description

Overview:
This position requires expertise in statistical and machine learning model development within a regulated environment. The role manages the full model development lifecycle-including requirements gathering, development, testing/validation, implementation, and ongoing monitoring-and partners closely with business and compliance stakeholders to deliver analytically sound, well-documented solutions. Development work is performed using both Python and SAS.
Primary Responsibilities:
  • Design, develop, test/validate, implement, and monitor statistical and machine learning models across the full model development lifecycle.

  • Partner with internal business stakeholders to define modeling requirements and translate them into scalable analytical solutions.

  • Analyze large, complex datasets (e.g., transaction data, customer/entity attributes, behavioral and demographic data) and present insights to senior management.

  • Produce clear, defensible model documentation and support governance, validation, and regulatory activities (MRM, audit, regulatory review).

  • Develop and maintain production-quality analytics using Python and SAS.

  • Collaborate with internal and external partners to optimize the risk/reward equation and maximize profitability.

  • Serve as a liaison for Quantitative Risk Management initiatives across business areas, consultants, vendors, and peer banks.

  • Manage and develop Quantitative Analysts and Modelers, including performance and skills development.

  • Ensure adherence to risk management frameworks, regulatory standards, and internal controls.

  • Exercise managerial authority related to staffing, performance, and compensation decisions.

  • Promote an inclusive environment that reflects the M&T Bank brand.

Education and Experience Required:
Bachelors' degree,
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 10 years' related experience (inclusive of 4 years supervisory/management experience)
-OR-
Master's degree in Mathematics, Statistics, Quantitative Analysis or another technical discipline and a minimum of 8 years' related experience (inclusive of 4 years supervisory/management experience),
OR in lieu of a degree,
A combined minimum of 14 years' higher education and/or work experience, including a minimum of 8 years' related experience and/or (inclusive of 4 years supervisory/management experience).
Minimum of 10 years' related experience (inclusive of 4 years supervisory/management experience)
Banking or Financial Services experience.
Experience with SAS, SAS Enterprise Miner and other Statistical Software Packages.
Advanced Knowledge of SQL and Microsoft Office.
Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
Demonstrated ability to communicate complex concepts.
Demonstrated ability to manipulate and analyze data across large databases.
Education and Experience Preferred:
  • Extensive experience with statistical and machine learning model development and ongoing monitoring.

  • Demonstrated experience leading models from concept through production.

  • Strong proficiency in both Python and SAS.

#LI-RS1
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $148,300.00 - $247,100.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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