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Internship Machine Learning Quant Jobs in Buffalo, NY

Barclays

QA Macro Muni Quant AVP

Niagara Falls, NY · On-site

$150 - $225/hr

Barclays Capital Inc. seeks QA Macro Muni Quant AVP in New York, NY (multiple positions available ... and machine learning models and analytics used in business decision-making Accountabilities

ACV, INC.

Product Manager III

Buffalo, NY · Remote

While machine learning enables optimization, it is the breadth, accuracy, and structure of the ... requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous ...

acv

Product Manager III

Buffalo, NY · Remote

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous ...

acv

Product Manager III

Buffalo, NY · Remote

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous ...

acv

Product Manager III

Buffalo, NY · Remote

Machine learning models (ranking, pricing, recommendations) This role directly impacts conversion ... requires a strong quantitative toolkit including hands-on proficiency in SQL, rigorous ...

acv

Commercial Analytics Director

Buffalo, NY · On-site

Apply sound statistical methods and, where appropriate, machine learning to improve commercial ... Bring quantitative rigor and clear judgment to how models are built, validated, and communicated.

Cornerstone Research

Summer Analyst

Buffalo, NY · On-site

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Cornerstone Research

Summer Analyst

Buffalo, NY · Hybrid

Learning Programs: Throughout the summer, you will participate in a series of sessions that will ... internship. * Most cases have quantitative and qualitative elements, though some will be more ...

Factset

Senior Media Analyst

Boston, NY

$83K - $110K/yr

Hands-on experience preparing data for statistical and machine learning models. * Familiarity with ... Demonstrated analytical, quantitative, and organizational skills with the ability to synthesize ...

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Showing results 21-40

All JobsMachine Learning Quant JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Buffalo, NY

Internship Machine Learning Quant information

See Buffalo, NY salary details

$24.7K

$41.2K

$85.2K

How much do internship machine learning quant jobs pay per year?

As of Aug 10, 2026, the average yearly pay for internship machine learning quant in Buffalo, NY is $41,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Buffalo, NY? The most popular types of Machine Learning Quant jobs in Buffalo, NY are:
What are popular job titles related to Internship Machine Learning Quant jobs in Buffalo, NY? For Internship Machine Learning Quant jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Buffalo, NY look for? The top searched job categories for Internship Machine Learning Quant jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Internship Machine Learning Quant jobs? Cities near Buffalo, NY with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant jobs near you
Infographic showing various Internship Machine Learning Quant job openings in Buffalo, NY as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 12% Full Time, and 86% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $41,249 per year, or $19.8 per hour.

Credit Model Development Data Architect Expert

M&T Bank

Buffalo, NY • On-site

$61.75 - $79.50/hr

Full-time

Posted 6 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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