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Machine Learning Finance Jobs in Massachusetts (NOW HIRING)

Layer Health

Director of Finance

Boston, MA

$160K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... Own the financial narrative. Today, critical financial modeling and reporting are being pieced ...

Layer Health

Director of Finance

Boston, MA · On-site

$160K - $200K/yr

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard ... Own the financial narrative. Today, critical financial modeling and reporting are being pieced ...

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Showing results 21-40

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Massachusetts

Machine Learning Finance information

See Massachusetts salary details

$27.3K

$101.2K

$148K

How much do machine learning finance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning finance in Massachusetts is $101,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $119,000.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

What are the key skills and qualifications needed to thrive in machine learning finance, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the most commonly searched types of Machine Learning Finance jobs in Massachusetts? The most popular types of Machine Learning Finance jobs in Massachusetts are:
What are popular job titles related to Machine Learning Finance jobs in Massachusetts? For Machine Learning Finance jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Massachusetts look for? The top searched job categories for Machine Learning Finance jobs in Massachusetts are:
What cities in Massachusetts are hiring for Machine Learning Finance jobs? Cities in Massachusetts with the most Machine Learning Finance job openings:
Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Massachusetts as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $101,165 per year, or $48.6 per hour.

Artificial Intelligence & Machine Learning, Off (US Only)

State Street Corporation

Boston, MA • On-site

$93K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Who we are looking for
We are looking for an Officer-level Compliance Technology Business Analyst / AI / Machine Learning professional to support the development and operation of data-driven solutions across Anti-Money Laundering (AML), Sanctions Screening, and Financial Crimes Compliance platforms. This role is highly hands-on and data-science focused, working directly with large datasets, machine learning models, and analytics pipelines used to detect and prevent financial crime.
Individual will liaise with the project sponsors, stakeholders, external vendors and other divisions within State Street to document current state, elicit & document requirements to ensure the delivery of quality products. Individual must demonstrate leadership abilities in analysis, problem solving, documentation and communication. Individual must be able to work under minimal direction while keeping senior management apprised of issues relating to analysis work related deliverables.
The ideal candidate has strong quantitative and technical skills, a solid understanding of machine learning techniques, and an interest in applying AI in a regulated financial services environment. The individual will work closely with senior data scientists, engineers, compliance partners, and technology teams to build, test, and monitor models while ensuring solutions remain explainable, auditable, and compliant with regulatory expectations.
What you will be responsible for
As Compliance Tech. AI/Machine Learning you will
  • Develop, test, and enhance machine learning and advanced analytics models supporting AML, sanctions screening, transaction monitoring, and alert prioritization.
  • Perform hands-on data analysis using large transactional and reference datasets to identify patterns, anomalies, and risk indicators related to financial crime.
  • Support feature engineering activities, including data exploration, feature selection, and transformation to improve model performance and stability.
  • Train, evaluate, and tune models using appropriate techniques and performance metrics (e.g., precision, recall, false-positive reduction).
  • Assist in validating model outputs by analyzing false positives, false negatives, and alert quality in partnership with compliance and operations teams.
  • Contribute to model documentation, including assumptions, methodologies, limitations, and performance results, to support audit and regulatory review.
  • Support ongoing model monitoring and performance tracking, identifying drift, degradation, or data quality issues and recommending remediation.
  • Work with data engineering teams to understand data pipelines, resolve data issues, and ensure model inputs remain accurate and reliable.
  • Participate in Agile delivery processes, contributing to user stories, testing activities, and release support for AI/ML solutions.
  • Support User Acceptance Testing (UAT) by validating model behavior against business and compliance expectations.
  • Stay current on emerging AI/ML techniques, open-source tools, and industry trends relevant to financial crime and compliance analytics.
  • Be able to translate complex ideas into cogent business requirements documents
  • Be proficient creating BRDs and data mapping documents.
  • Collaborate with cross-functional teams to identify requirements, provide guidance, ask and respond to questions and assist with resolving complex issues.
  • Ensure that any gaps identified in the BRD are addressed and rectified by the relevant team.
  • Support development and testing teams by answering questions and updating documentation as needed based on feedback.
  • Be responsible for communication, resolution, and potential escalation of critical issues.
  • Work with the Project Manager and Product Owner to create and manage user stories using Jira
  • Support team in triaging issues found during testing.
  • Be able to work in a complex, deadline driven organization on projects with minimal supervision.
  • Analyze complex problems, derive options and solutions and present in an understandable manner to stakeholders, developers, testers and users at multiple levels.

What we value
These skills will help you succeed in this role
  • Strong foundation in machine learning and statistical concepts, including supervised learning, basic unsupervised techniques, and model evaluation.
  • Hands-on experience with data analysis and modeling using tools such as Python and SQL.
  • Experience working with large, complex datasets; exposure to financial or transactional data is a strong plus.
  • Understanding of common challenges in applied machine learning, such as data quality, class imbalance, and model interpretability.
  • Interest in or exposure to AML, sanctions, fraud, or risk analytics, particularly in regulated environments.
  • Ability to clearly explain analytical results and model behavior to technical and non-technical stakeholders.
  • Strong problem-solving skills, attention to detail, and a structured, analytical mindset.
  • Ability to work collaboratively in cross-functional teams and learn from more senior data scientists and engineers.
  • Familiarity with Agile delivery practices and version-controlled development environments is preferred.
  • Curiosity, eagerness to learn, and motivation to grow as a data scientist within the compliance and financial crime domain.
  • Ability to manage multiple simultaneous tasks in a high pressure, deadline environment.
  • Ability to take ownership and initiative, to negotiate, influence and build consensus and successfully navigate within a demanding and international environment
  • Strong skills in analytical thinking, problem solving, research, time management, and verbal and written communication.
  • Strong collaboration and relationship management skills.
  • Ability to work independently.

Education & Preferred Qualifications
  • Bachelor's degree with concentration in Engineering, Business or Technology preferred.
  • Candidate should have 1-2+ years of experience in financial services, including relevant responsibilities.
  • Experience in Financial domain is required: knowledge of Anti-Money Laundering (AML), Sanctions, Transaction Monitoring, Know Your Customer (KYC), financial securities, and trading principles.
  • Experience in FinTech working with SWIFT message types (specifically Swift - MT, MX message formats).
  • Experience in FinTech working with Fedwires transactions.
  • Experience/Exposure to Financial Crimes Compliance - such as AML, Alert generation.
  • Knowledge with LexusNexus Firco Continuity or any other AML products is preferred.
  • Experience with JIRA, Agile (Epics, Stories, Working in Kanban team).
  • Should have good understanding of Agile methodology and Agile Ceremonies.
  • Work with geographically distributed teams while maintaining highest standard in collaboration and communication across the QA/DEV and Business teams.
  • Team oriented attitude.
  • Excellent verbal and written communication skills.
  • Person must be self-motivated, self-driven, own and consider him/herself accountable for timely completion of deliverables.
  • Strong problem-solving skills with great attention to details.

Salary Range:
$70,000 - $118,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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