1

Computer Science Finance Jobs in Boston, MA (NOW HIRING)

... Biostats, Finance, Business Development, and others, to understand their workflows, identify ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

... Biostats, Finance, Business Development, and others, to understand their workflows, identify ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical ... Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday One or more ...

Pricing Data Engineer

Boston, MA · On-site

$110K - $169K/yr

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred * Strong SQL and Python skills, with experience building scalable workflows, structured ...

Showing results 41-60

Computer Science Finance information

See Boston, MA salary details

$27.2K

$100.6K

$147.2K

How much do computer science finance jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computer science finance in Boston, MA is $100,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $118,400.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Can computer science work in finance?

Computer science professionals can work in finance by developing algorithms, managing data systems, and creating financial models. Skills in programming, data analysis, and knowledge of financial concepts are essential for roles such as quantitative analyst, financial software developer, or risk analyst.

What are popular job titles related to Computer Science Finance jobs in Boston, MA?

For Computer Science Finance jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in Boston, MA look for?

The top searched job categories for Computer Science Finance jobs in Boston, MA are:

Infographic showing various Computer Science Finance job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,635 per year, or $48.4 per hour.

Senior Addepar Data Engineer / Analyst

Boston, MA • On-site

Brown Advisory
Finance and Insurance • 201 - 500 employees

$93K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago


Job description

Company Overview


Every firm has a culture - the values, beliefs, methodology, attitudes and standards that reflect an organization's DNA. But the truly inspiring firms - the game-changers, the industry leaders and the disruptors - have cultures that propel them to innovate and stand out. At Brown Advisory, we aim to be one of those inspired firms. Over the years, we have purposefully built and nurtured our client-first culture.

Brown Advisory is an independent investment management and strategic advisory firm committed to delivering a combination of first-class performance, strategic advice and the highest level of client service. The firm's clients-including individuals, families, family offices, endowments, foundations, charities, institutions, consultants, and financial intermediaries-are served by over 1,000 colleagues worldwide, all of whom are equity owners of the firm.

Position Summary
Brown Advisory is seeking a Senior Addepar Data Engineer / Analyst to help advance the firm's Wealth and Asset Management data capabilities. This role is responsible for supporting and scaling the Addepar data ecosystem, with a focus on data engineering, platform analytics, integration support, data quality, operational automation, and investment data enablement.


The role will work at the intersection of technology, investment operations, portfolio management, client reporting, and enterprise data. The successful candidate will help ensure that Addepar data is accurate, reliable, timely, well-governed, and available for downstream reporting, analytics, advisory workflows, and business decision-making.


This is a high-impact opportunity for a hands-on Addepar professional who understands investment data, can solve complex data problems, and wants to help shape a modern asset management technology environment. The role will support integrations between Addepar, Snowflake, Canoe, reporting platforms, portfolio systems, client platforms, and other enterprise applications.


The primary duties and responsibilities include but are not limited to:

  • Serve as a senior technical and analytical resource for Brown Advisory's Addepar data ecosystem.
  • Support, enhance, and scale Addepar workflows across portfolio management, client reporting, investment operations, performance analytics, and advisory processes.
  • Analyze, troubleshoot, and resolve complex data issues involving accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting outputs.
  • Build, maintain, and improve data pipelines between Addepar and enterprise platforms, including Snowflake, reporting tools, client platforms, portfolio systems, accounting systems, Canoe, and other vendor applications.
  • Use Addepar APIs, extracts, imports, and platform tools to enable data integration, automation, enrichment, validation, and downstream consumption.
  • Develop SQL queries, reconciliation logic, exception reports, data profiling routines, and automated data quality controls.
  • Partner with business and technology stakeholders to translate portfolio management, client reporting, operations, and analytics needs into data requirements, technical specifications, and scalable delivery solutions.
  • Support ingestion, transformation, normalization, and validation of portfolio, client, account, security, transaction, performance, benchmark, alternative investment, and reference data.
  • Contribute to Snowflake-centered data architecture by supporting secure data ingestion, modeling, quality checks, consumption-layer design, and integration with analytics and reporting platforms.
  • Collaborate with investment operations and reporting teams to validate performance, exposure, allocation, classification, and client reporting data.
  • Support production data operations, including data-feed monitoring, exception management, issue triage, root-cause analysis, release validation, vendor escalation, and post-incident remediation. Identify opportunities to automate manual workflows, reduce recurring data exceptions, improve data quality, and strengthen operational controls.
  • Maintain clear documentation for data flows, mappings, business rules, reconciliation procedures, platform processes, and production support runbooks.
  • Participate in platform enhancements, regression testing, user acceptance testing, release planning, and change-management activities.
  • Ensure Addepar-related data processes align with Brown Advisory's standards for security, privacy, auditability, operational resilience, and financial services regulatory expectations.
  • Partner with architects, engineers, platform owners, business analysts, vendors, and data governance stakeholders to continuously improve the reliability, scalability, and usability of the Addepar data environment.

Required Qualifications:

  • Bachelor's degree in Information Systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.
  • 5+ years of hands-on experience with the Addepar platform in a wealth management, asset management, family office, investment advisory, or financial services environment.
  • 5+ years of experience in data engineering, data analysis, investment operations technology, financial systems support, platform analytics, or enterprise data operations.
  • Strong understanding of the Addepar data model, including accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting views.
  • Experience supporting Addepar data imports, exports, data feeds, integrations, reconciliation processes, and platform configuration.
  • Intermediate to advanced SQL skills, including joins, aggregations, data profiling, exception identification, reconciliation, and large-dataset analysis.
  • Experience diagnosing and resolving data quality issues across portfolio, account, transaction, position, security master, performance, and reporting datasets.
  • Strong understanding of wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.
  • Experience translating business requirements into data requirements, technical specifications, data mappings, validation rules, and operating procedures.
  • Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.
  • Ability to operate effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for accuracy, reliability, and responsiveness.
  • Ability to work in Brown Advisory's Baltimore office three days per week.

Desired Qualifications:

  • Experience integrating Addepar with Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, client portals, portfolio accounting systems, or investment operations platforms.
  • Experience using Addepar APIs or developer tools to support automated extracts, data enrichment, platform integrations, workflow automation, or downstream reporting processes.
  • Experience with Canoe or similar alternative investment document automation, and data extraction.
  • Experience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, and consumption-layer design.
  • Experience with Python, dbt, ETL/ELT tools, orchestration platforms, APIs, file-based integrations, and automation scripts.
  • Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.
  • Experience developing dashboards, exception reports, reconciliation tools, operational metrics, or analytics datasets.
  • Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, and operational risk requirements.
  • Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.
  • Ability to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.

Technical Competencies:

  • Addepar data model, platform configuration, reporting views, data imports, exports, integrations, and APIs
  • Portfolio, account, entity, ownership, holding, transaction, security master, classification, benchmark, performance, and reporting data
  • SQL, data profiling, data reconciliation, data validation, and exception management
  • Snowflake and modern enterprise data platform concepts
  • API-based integrations, file-based integrations, ETL/ELT workflows, and data pipeline support
  • Wealth and asset management workflows
  • Portfolio analytics, client reporting, performance reporting, investment operations, and financial reporting
  • Alternative investment data workflows, including Canoe or comparable platforms
  • Data governance, data quality, lineage, access controls, auditability, and operational resilience
  • Production support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation
  • Agile delivery, requirements analysis, user acceptance testing, change management, and technical documentation
  • Communication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders

Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization (e.g., H-1B, O-1, F-1 (OPT), TN, or any other non-immigrant visa classifications that require employer support or sponsorship).

MD Salary: $132.5K-$172.5K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

MA Salary: $145.75K-$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

DC Salary: $145.75K-$189.75K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

NY Salary: $159K-$207K. Commensurate with experience and location. Does not include bonus or long-term incentive eligibility.

Benefits


At Brown Advisory we offer a competitive compensation package, including full benefits.
Medical
Dental
Vision
Wellness program participation incentive
Financial wellness program
Fitness event fee reimbursement
Gym membership discounts
Colleague Assistance Program
Telemedicine Program (for those enrolled in Medical)
Adoption Benefits
Daycare late pick-up fee reimbursement
Basic Life & Accidental Death & Dismemberment Insurance
Voluntary Life & Accidental Death & Dismemberment Insurance
Short Term Disability
Paid parental leave
Group Long Term Disability
Pet Insurance
401(k) (50% employer match up to IRS limit, 4 year vesting)

Brown Advisory is an Equal Employment Opportunity Employer.