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Quantitative Developer Jobs in Buffalo, NY (NOW HIRING)

KeyBank

Lead Quantitative Analytics Associate

Buffalo, NY · On-site

$71K - $125K/yr

Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines * A minimum of 2 years of ...

Keybank

Quant Analytics Mgr.

Amherst, NY

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

Openkyber

API Gateway Developer

Buffalo, NY · On-site

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics , or a related quantitative field. If interested please share your resume @ joshnar@openkyber.com

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All JobsQuantitative Developer JobsQuantitative Developer Jobs in Buffalo, NY

Quantitative Developer information

See Buffalo, NY salary details

$94.9K

$164.4K

$251.4K

How much do quantitative developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for quantitative developer in Buffalo, NY is $164,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $192,800.00 per year, depending on experience, location, and employer.

How does a quantitative developer typically collaborate with quantitative analysts and traders in a financial firm?

Quantitative Developers work closely with quantitative analysts to implement mathematical models into robust, efficient code that can be used by traders for real-time decision-making. They often translate research prototypes into production-ready applications, ensuring that the models are both accurate and optimized for speed. Regular communication with traders helps Quantitative Developers understand the practical requirements of trading strategies, allowing them to tailor tools and systems for maximum usability and impact. This collaborative environment is essential for quickly adapting to market changes and maintaining a competitive edge.

What are the key skills and qualifications needed to thrive as a quantitative developer?

To thrive as a Quantitative Developer, you need expertise in mathematics, statistics, programming (often in Python, C++, or Java), and a strong background in quantitative finance or a related field. Familiarity with financial modeling tools, version control systems like Git, and experience with data analysis libraries or platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in this role. These skills are crucial for developing robust, efficient models and tools that directly support trading, risk management, and financial decision-making.

What is the difference between Quantitative Developer vs Quantitative Analyst?

AspectQuantitative DeveloperQuantitative Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills (Python, C++, Java)Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentPrimarily software development, coding, and system implementationData analysis, modeling, and strategy development
Employer & Industry UsageFinancial firms, hedge funds, trading desksInvestment banks, asset management firms, hedge funds
Common Search & ComparisonFocuses on coding and system buildingFocuses on market analysis and strategy

While both roles work within the finance industry and require quantitative skills, Quantitative Developers primarily focus on building and maintaining trading systems and algorithms through programming. Quantitative Analysts concentrate on analyzing data and developing models to inform trading strategies. The roles often collaborate but differ in their core responsibilities and skill sets.

What is a quantitative developer?

Quantitative Developers, often called 'quant devs,' are professionals who combine expertise in programming, mathematics, and finance to design, develop, and maintain complex financial models and trading algorithms. They work closely with quantitative analysts (quants) to implement models that analyze financial data, price securities, or automate trading strategies. Their role typically involves programming in languages like Python, C++, or Java, and working with large datasets to ensure the efficiency and accuracy of financial systems. Quantitative Developers play a critical role in investment banks, hedge funds, and financial technology firms.
More about Quantitative Developer jobs
What are the most commonly searched types of Quantitative Developer jobs in Buffalo, NY? The most popular types of Quantitative Developer jobs in Buffalo, NY are:
What are popular job titles related to Quantitative Developer jobs in Buffalo, NY? For Quantitative Developer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Quantitative Developer jobs in Buffalo, NY look for? The top searched job categories for Quantitative Developer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Quantitative Developer jobs? Cities near Buffalo, NY with the most Quantitative Developer job openings:
Quantitative Developer jobs near you
Infographic showing various Quantitative Developer job openings in Buffalo, NY as of August 2026, with employment types broken down into 80% Full Time, 6% Part Time, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $164,410 per year, or $79 per hour.

Credit Model Development Data Architect Expert

M&T Bank

Buffalo, NY • On-site

$61.75 - $79.50/hr

Full-time

Posted 5 days ago

M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

79th of 170 rated banks

Job description

*** Work Arrangement/Location: This is a hybrid position requiring in-office work four days every week. Ideally the position will be based in Buffalo, NY but may be in an M&T office in Baltimore, MD, Bridgeport, CT, NYC, NY, Iselin, NJ, Boston, MA, Wilmington, DE, Washington, DC, or possibly another M&T Bank corporate office.
There might be potential for a remote work arrangement depending upon the location of the final candidate.
Overview:
Develops and builds complex systems of models to analyze diverse big data sources to generate insights and solutions for business partners and product enhancement. Leads work to develop, test and validate models that drive business value. Identifies, interprets, and communicates insights from data to management. Mentors less experienced team members.
Primary Responsibilities:
  • Work to solve the most challenging data related problems using different analytical and statistical approaches across the organization
  • Mentor less experienced data scientists on current industry best practices for preventing data drift and sourcing, ingesting, and cleaning data.
  • Build complex econometric, statistical and machine learning models for various problems inclusive of classification, clustering, pattern analysis, sampling, and simulations.
  • Commit complex code into model repository to serve as a source for other team members and provide feedback on other code in the repository.
  • Lead the development of complex champion/challenger models and adjust models accordingly. Develop and implement framework for building self-healing models.
  • Select and refine complex models, taking into account performance, reliability and stability metrics as well as business feedback.
  • Leverage model outputs to identify actionable insights, suggest recommendations and influence the direction of cross-functional groups by effectively communicating model outcomes, impacts and business value.
  • Guide and train less experienced data scientists on model development, selection, refinement, measurements and visualizations.
  • Own relationship with data clients to understand their unique research questions and lead development of new research approaches including adaption of research techniques based on client needs.
  • Lead code review to ensure code is efficient, accurate, and leveraging industry best practices.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Design, implement, maintain and enhance internal controls to mitigate risk on an ongoing basis. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.

Scope of Responsibilities:
The position serves as a quantitative expert in use of statistical programming languages to analyze Bank datasets and development, implementation and maintenance of behavioral models. It is important for the position to communicate with clear narratives, compelling data visualization and technical precision, both in-person and in writing, to enable audiences to understand analysis and forecasts. The position partners and collaborates with colleagues in related functions, including Credit Risk Management, Asset Liability and Liquidity Management, Model Risk Management and business lines to implement and understand models for Bank use. The position often leads team-based projects related to model development or implementation. This role is highly technical in nature and requires demonstrated attention to detail, execution and follow-up on multiple initiatives within Treasury and across the Bank. The ability to identify, analyze, rationalize and communicate complex business, data and statistical problems and recommend corresponding solutions while directing the work of others on the team is a key factor of success in this role. The position may supervise the work of interns and/or lead teams on a project basis, providing performance feedback to management as appropriate. The position also provides guidance and direction to less experienced personnel.
Education and Experience Required:
  • Bachelor's degree and a minimum of 6 years' proven quantitative behavioral modeling experience, or in lieu of a degree, a combined minimum of 10 years' higher education and/or work experience, including a minimum of 6 years' proven quantitative behavioral modeling experience
  • Minimum of 6 years' on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
  • Minimum of 6 years' on-the-job experience with data management environment, such as SQL Server Management Studio
  • Minimum of 6 years' on-the-job experience analyzing large data sets and explaining results of analysis through concise written and verbal communication as well as charts/graphs
  • Experience with various hybrid databases both on premise and in the cloud
  • Experience analyzing and explaining results of large data sets analyses

Education and Experience Preferred:
Masters' of Science or Doctorate degree in statistics, economics, finance or related field in the quantitative social, physical or engineering sciences, with proven coursework proficiency in statistics, econometrics, economics, computer science, finance or risk management
Minimum of 8 years' statistical analysis programming experience
Financial Risk Manager (FRM) or Chartered Financial Analyst (CFA) designation
Fluency and high proficiency in econometric/statistical techniques, especially time-series analysis, panel data methods and logistic regression
Experience in balance sheet management and mathematical modeling of financial instruments offered by banks
Knowledge and familiarity with key aspects of model risk management and model validation, including SR-11-7 guidance on model risk management
Proven track record for being able to work autonomously and within a team environment
Proven leadership skills
Strong desire to learn and contribute to a group
Previous experience leading and directing the work of less experienced personnel
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 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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