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Bank Python Jobs in Buffalo, NY (NOW HIRING)

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$12

$56

$83

How much do bank python jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for bank python in Buffalo, NY is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.52 per hour, depending on experience, location, and employer.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are the key skills and qualifications needed to thrive as a Bank Python Developer, and why are they important?

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.
What are popular job titles related to Bank Python jobs in Buffalo, NY? For Bank Python jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Buffalo, NY look for? The top searched job categories for Bank Python jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Bank Python jobs? Cities near Buffalo, NY with the most Bank Python job openings:
Bank Python jobs near you
Senior Quantitative Risk Manager - BSA/AML

Senior Quantitative Risk Manager - BSA/AML

M&T Bank

Buffalo, NY • On-site

$148K - $247K/yr

Full-time

Re-posted 20 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

72nd of 146 rated banks

Job description

Overview:

This position requiresexpertisein 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, andmonitorstatistical 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 andmaintainproduction-quality analytics using Python and SAS.

  • Collaborate with internal and external partners tooptimizethe 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 machinelearningmodel development and ongoing monitoring.

  • Demonstrated experience leading models from concept through production.

  • Strongproficiencyin 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.LocationBuffalo, New York, United States of America

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