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Computer Science Finance Jobs in Massachusetts (NOW HIRING)

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience. * Deep expertise in Python, data-centric ...

Chewy

Sr. Oracle EPM Administrator

Boston, MA · On-site +1

$100K - $160K/yr

Bachelor's degree in information systems, Computer Science, Finance, Accounting, or a related field. * 7+ years of experience administering Oracle EPM or Hyperion Planning solutions. * Hands-on ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience. * Deep expertise in Python, data-centric ...

Amazon

Applied Scientist III - AMZ9898584

Boston, MA · On-site

$167K - $226K/yr

... financial, and/or other benefits. For more information, visit: BASIC QUALIFICATIONS Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning ...

SS&C

Senior Project Manager

Boston, MA · Hybrid

Bachelor's degree in Computer Science, Finance, ora relatedfield. * Professional certifications such as PMP or PRINCE2 are highly desirable. * Strong leadership, negotiation, and stakeholder ...

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Computer Science Finance information

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What Are Finance Jobs for Computer Science Majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Massachusetts? For Computer Science Finance jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Massachusetts look for? The top searched job categories for Computer Science Finance jobs in Massachusetts are:
What cities in Massachusetts are hiring for Computer Science Finance jobs? Cities in Massachusetts with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Investment Quantitative Product Consultant

Investment Quantitative Product Consultant

Massachusetts Mutual Life Insurance Company (MassMutual)

Boston, MA • On-site

Full-time

Posted 5 days ago

MassMutual rating

8.1

Company rating: 8.1 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

132nd of 277 rated insurance

Job description

Investment Quantitative Product Consultant
Quantitative Research & Development Team
Full-Time
Boston, MA, New York, NY or Springfield, MA
The Opportunity
As an Investment Quantitative Product Consultant on the Quantitative Product Development team within Quantitative Research & Development (QRD), you'll build and improve the portfolio management and analytics tools used by Portfolio Managers, Quantitative Strategists, and Investment Research teams. You'll partner closely with QRD, Portfolio Management, and Technology to turn investment and quantitative needs into scalable, high-quality solutions-supporting portfolio construction, investment analysis, and scenario testing in an Agile/DevOps environment. You'll act as a bridge between investment teams and engineers-asking the right questions, challenging assumptions when needed, and applying strong analytical judgment to deliver tools with clear day-to-day impact.
The Team
The Quantitative Research and Development (QR&D) Team is responsible for researching, designing, testing, and enhancing quantitative models and analytical tools that support systematic investment strategies, portfolio construction, and risk management. The team applies advanced statistical techniques, financial theory, and data science to transform data into scalable, well-governed solutions that enable informed investment decision-making.
The Impact
As an Investment Product Consultant, your responsibilities will include but not limited to the following:
Front Office Product & Solution Design
  • Partner with Portfolio Managers and Quantitative Research to understand workflows, user needs, and analytical requirements.
  • Assess investment processes, methodologies, and data needs to define product capabilities and priorities.
  • Research, design, and document portfolio management and analytics solutions.
  • Translate business and quantitative requirements into scalable, maintainable solution designs.
  • Evaluate trade-offs, dependencies, and risks; contribute to design reviews with engineering and QRD.

Delivery & Execution
  • Support applications through the full delivery lifecycle in an Agile/DevOps model.
  • Contribute to estimates, test strategy, and implementation planning.
  • Participate in testing analytics, portfolio calculations, and data transformations.
  • Ensure solutions meet performance, reliability, and usability expectations.
  • Identify issues early and partner with stakeholders to drive resolution.

Data, Analytics & Architecture
  • Work with data-centric architectures, including multi-dimensional and time-series investment data.
  • Maintain data integrity and transparency across portfolio views and analytics.
  • Analyze large data sets to support validation and troubleshooting.
  • Collaborate on APIs, services, and platform components that enable analytics use cases.

Collaboration & Professional Growth
  • Build strong working relationships across Quantitative Research, Portfolio Management, and Technology.
  • Communicate clearly with both technical and investment audiences.
  • Propose improvements to analytics, tooling, and delivery practices.
  • Grow your product thinking, technical depth, and investment domain knowledge.

Minimum Qualifications
  • Bachelor's degree in computer science, financial engineering, mathematics, quantitative finance, information technology or related field
  • 3+ years of experience designing and delivering complex technology solutions.
  • 3+ years of experience supporting front-office investment or quantitative analytics platforms.
  • 2+ years of experience working with investment data models and analytics-driven systems.
  • 2+ years of experience with standard documentation and analysis tools (Visio, Excel, Word).

Ideal Qualifications
  • Master's degree in computer science, financial engineering, mathematics, quantitative finance, information technology or related field
  • CFA or demonstrated progress toward CFA designation
  • 5+ years designing and delivering complex technology solutions
  • 5+ years supporting front-office investment or quantitative analytics platforms (e.g., Aladdin or similar).
  • Strong understanding of portfolio management concepts, investment analytics, financial instruments, and the trade lifecycle across a range of asset classes.
  • Demonstrated experience designing analytics-focused, portfolio-oriented tools; strong quantitative, analytical, and problem-solving skills.
  • Working knowledge of Agile/DevOps and SDLC practices (e.g., Jira, Confluence) and strong data analysis skills using modern tooling and BI platforms (e.g., Power BI, Tableau).
  • Proficiency with product/project documentation (e.g., charters, business requirements, milestone planning) and comfort operating with limited guidance while proactively communicating progress and risks.
  • Clear, collaborative communication style and ability to work independently on complex problems.

MassMutual offers the opportunity to do meaningful work within a purpose-driven organization that values long-term impact over short-term outcomes. In this role, you can expect:
  • Clear areas of ownership and accountability, with work that connects directly to company and customer outcomes
  • A collaborative environment where perspectives are welcomed
  • Access to learning, development, and internal networks that support continuous growth and skill-building over time
  • Employee-led communities and forums that foster connection, learning, and inclusion across the organization
  • A culture grounded in integrity, responsibility, and stewardship-supported by a company with a strong legacy and a future-focused mindset

#LI-FT1
Salary Range:
$99,800-$131,000
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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