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Computer Science Finance Jobs in New Jersey (NOW HIRING)

Data/Reporting Analyst

Newark, NJ · On-site

$39/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Statistics, Mathematics, Computer Science, Finance, Business Administration, or a related field; equivalent experience ...

Senior Manager, Data Science - FCRM Modeling

Mount Laurel, NJ · On-site

$123K - $201K/yr

  • Medical

  • Retirement

  • PTO

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience ...

Data/Reporting Analyst

Newark, NJ · On-site

$39/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Statistics, Mathematics, Computer Science, Finance, Business Administration, or a related field; equivalent experience ...

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

  • Medical

  • Retirement

  • PTO

Advanced degree in Computer Science, Engineering, Statistics, or related field * Minimum of 10 ... financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits ...

(USA) Principal, Data Scientist

Hoboken, NJ · On-site

$132 - $264/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Financial benefits include 401(k), stock purchase and company-paid life insurance. * Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Showing results 41-60

Computer Science Finance information

See New Jersey salary details

$25.4K

$94K

$137.6K

How much do computer science finance jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science finance in New Jersey is $94,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $110,700.00 per year, depending on experience, location, and employer.

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.

Can computer science work in finance?

Computer science professionals can work in finance as quantitative analysts, software developers, or data scientists, applying skills in programming, algorithms, and data analysis to financial modeling, trading systems, and risk management. Knowledge of financial concepts and tools like Python, R, or SQL is often required for these roles.

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.

What are popular job titles related to Computer Science Finance jobs in New Jersey?

For Computer Science Finance jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Computer Science Finance jobs in New Jersey look for?

The top searched job categories for Computer Science Finance jobs in New Jersey are:

What cities in New Jersey are hiring for Computer Science Finance jobs?

Cities in New Jersey with the most Computer Science Finance job openings:

Infographic showing various Computer Science Finance job openings in New Jersey as of August 2026, with employment types broken down into 3% Internship, 77% Full Time, 10% Part Time, and 10% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $94,043 per year, or $45.2 per hour.

Director of Data Science - Risk Monitoring

Monitise

Berkeley Heights, NJ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

Calling all innovators - find your future at Fiserv.

We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.

Job Title

Director of Data Science - Risk Monitoring

About the role:

You will be part of the Merchant Solutions Decision Science & Risk Solutions leadership team, responsible for advancing the AI/ML and decisioning capabilities that power Fiserv's merchant risk and growth solutions. The team develops predictive batch and real-time models, decision frameworks, and automated risk controls that help manage fraud and credit risk exposure while enabling revenue growth and improving the overall merchant experience.

You will oversee analytics and risk solutions supporting existing merchant populations, including Risk Monitoring, Clover Capital, and other portfolio management initiatives. Leveraging internal and external data assets, this leader will drive the development of innovative, data-driven capabilities that strengthen risk management, uncover growth opportunities, and deliver measurable business value.

Success in this role requires strong collaboration across Decision Science, Product, Technology, Risk, Operations, and client-facing teams to deliver scalable, best-in-class analytical solutions and strategic business outcomes.

What you will do:

  • Lead and develop a high-performing team of Data and Decision Science professionals, providing coaching, mentorship, and strategic direction whilerepresentingthe organization in senior leadership and client engagements.

  • Drive the AI/ML strategy for existing merchant portfolios,leveragingmerchant, transaction, and third-party data to develop data-driven capabilities, predictive models, and automated decision frameworks that improve risk management, merchant experience, and business growth.

  • Oversee the end-to-end lifecycle of predictive models, optimized decision frameworks, and automated risk controls, from opportunity identification and development through deployment, monitoring, and optimization.

  • Generate actionable insights from payment network, merchant, and risk data,applyinginnovative analytical techniques to prevent fraud and credit losses, optimize portfolio performance, and support growth across digital and traditional channels.

  • Partner with business, product, technology, and risk stakeholders to translate complex business challenges into scalable analytical solutions that balance risk management, merchant experience, and growthobjectives.

  • Lead the modernization of risk analytics and decisioning capabilities, including the adoption of new data sources, advanced technologies, and real-time decisioning solutions.

Experience you will need to have:

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Science, Computer Science, Engineering, ora relateddiscipline.

  • 10 years of experience in data science, predictive modeling,fraud andrisk analytics, or related quantitative disciplines, including experience leading teams and delivering analytics solutions that drive business outcomes.

  • Demonstratedexpertisein AI/ML, advanced analytics, anddecision optimization, with a proven ability to translate complex data into actionable insights, risk controls, and growth opportunities.

  • Strong knowledge of payment, merchant, lending, fraud, fintech, financial services or credit risk ecosystems, including the use of merchant and transaction data to support risk management and portfolio growth strategies.

  • Proficiencywith analytical and data technologies, including Python,Snowflake,and modern data platforms, with the ability to guide teams in the development, deployment, and monitoring of analytical solutions.

Experience that would be great to have:

  • Master's degree or PhD in Statistics, Mathematics, Data Science, Computer Science, Engineering, or another quantitative discipline.

  • Deepexpertisein AI/ML techniques and advanced statistical modeling, including experience applying predictive analytics to business and risk management challenges.

  • Experienceleveragingcredit bureau, alternative, and third-party data sources to enhance risk assessments, predictive models, and automated decision strategies.

How you will work:

This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experience helps you with your overall onboarding experience and leads to stronger productivity.

Sponsorship:

You must currentlypossessvalid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidaterequiringsponsorship, now or in the future, will not be considered for this role.

Benefits at Fiserv:

  • Fuel Your Life wellness program with activities and rewards to support total well-being

  • Paid statutory holidays, Recharge & Refuel vacation (years-of-service tiers), and a Paid Sick Time program

  • No-cost, confidential support through the Employee Assistance Program (EAP) for you and household members

  • Recognition through Living Proof, with points redeemable for merchandise and gift cards

  • Eight Employee Resource Groups to build connection and inclusion

  • RRSP with 100% company match up to 5%, a Non-Registered Savings Plan (NREG), and an Employee Stock Purchase Plan (ESPP)

  • Comprehensive extended health care and vision benefits, plus dental coverage

  • Company-paid Basic Life and AD&D, with optional life and AD&D coverage available

  • Company-paid Short-Term Disability and Long-Term Disability income protection

  • Emergency medical coverage for out-of-province/out-of-country travel via extended health benefits

#LI-CD1

Salary Range

$136,000.00 - $225,600.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.

Thank you for considering employment with Fiserv. Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contactAskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements.Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.