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Data Analyst Fintech Jobs (NOW HIRING)

Intuit

Staff Fraud and Risk Analyst - Fintech

New York, NY · On-site

$150K - $204K/yr

You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to ... Use advanced analytical techniques to mine massive scale account and transactional data to build ...

Insurify

Business Data Analyst

Cambridge, MA · On-site

$75K - $90K/yr

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This will include a mix of business analytics, analytics engineering, and data science using SQL ...

Insurify

Business Data Analyst

Cambridge, MA · On-site +1

$75K - $90K/yr

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... This will include a mix of business analytics, analytics engineering, and data science using SQL ...

Acrisure

Data Analyst, Data Intelligence

Austin, TX · On-site

Acrisure is a global fintech leader that empowers businesses with innovative solutions. The Data Analyst in the Data Intelligence team will be responsible for leading the design and implementation of ...

Current

Senior Data Analyst, Data Analytics

New York, NY

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

1 point system

Senior Data Analyst

Sunnyvale, CA · On-site

$40/hr

Master's degree in Data Science, Statistics, Computer Science, Economics, or related field. * 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics. * Advanced SQL expertise ...

Lemonade

Data Analyst

New York, NY · On-site

We're built as a lean, data-driven organization that relies on a common understating of objectives ... fintech, or insurtech company * Advanced SQL and working proficiency in Python or R for analysis ...

Current

Senior Data Analyst, Data Analytics

New York, NY · On-site

$150K - $200K/yr

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that ...

Brex

Data Analyst III

San Francisco, CA · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

Rain

Senior Data Analyst

New York, NY · On-site

$50K/yr

This role is for a high agency analyst who ensures data is useful and adopted, not just available ... Experience in fintech, payments, card programs, or financial infrastructure. * Python proficiency ...

Brex

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Experience in fintech, financial services, or payments. * Track record of leading cross-functional ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Performs analyses of historical data to surface trends and insights using advanced analytical ... Financial services, fintech, e-commerce, or consumer digital product experience preferred. Special ...

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How much do data analyst fintech jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data analyst fintech in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Data Analyst do in Fintech?

A Data Analyst in Fintech collects, processes, and analyzes financial data to uncover trends, optimize business decisions, and improve financial services. They work with big data, statistical models, and visualization tools to provide insights that drive product development, risk management, and customer experience. Their role often involves working with machine learning, SQL, Python, and BI tools to extract meaningful patterns from financial transactions, user behavior, and market trends.

What are the key skills and qualifications needed to thrive in the Data Analyst Fintech position, and why are they important?

To thrive as a Data Analyst Fintech, a strong foundation in data analysis, statistical modeling, and financial acumen—often backed by a relevant degree such as in mathematics, statistics, finance, or computer science—is essential. Proficiency with analytical tools like SQL, Python, R, and specialized fintech platforms as well as certifications like CFA or data analytics certificates is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills differentiate top performers, enabling them to present complex findings clearly. These skills are crucial for extracting actionable insights from financial data and supporting data-driven decision-making in the rapidly evolving fintech industry.

What types of teams or departments do Data Analysts typically collaborate with in a fintech company?

Data Analysts in fintech companies frequently work alongside product development, engineering, risk management, and business strategy teams to analyze data and provide actionable insights. Their work often contributes to fraud detection, customer experience optimization, and financial forecasting, requiring close communication with both technical and non-technical stakeholders. Collaboration is key, as insights generated by data analysts often guide the direction of products and services and influence important business decisions. This cross-functional interaction not only broadens professional experience but also provides opportunities for career growth within different areas of the fintech sector.

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What cities are hiring for Data Analyst Fintech jobs? Cities with the most Data Analyst Fintech job openings:
What are the most commonly searched types of Data Analyst Fintech jobs? The most popular types of Data Analyst Fintech jobs are:
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Data Analyst Fintech jobs near you
Infographic showing various Data Analyst Fintech job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Staff Fraud and Risk Analyst - Fintech

Staff Fraud and Risk Analyst - Fintech

Intuit

New York, NY • On-site

$150K - $204K/yr

Full-time

Posted 8 days ago

Intuit rating

8.4

Company rating: 8.4 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

65th of 186 rated software companies

Job description

Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands - Turbo Tax, Credit Karma, QuickBooks, and Mailchimp - Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
Our team owns fraud policies across all the consumer lending and banking product suites - Onboarding risk, Money in Channels, ACH, RTP, OCT , ATO risk. We're hiring a Staff Analyst, Fraud Policy to own end-to-end policy decisions across these money movement rails: detecting emerging attacks, sizing the exposure, designing controls in our real-time decisioning stack, and defending the tradeoff between loss and member experience to leadership.
This is a high-leverage seat. You'll work directly with fraud strategy, data science, engineering, dispute ops, and compliance to keep the ecosystem secure without breaking the experience for legitimate members ,utilizing cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
  • Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
  • Build Data driven strategies and policies to prevent and mitigate fraud, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
  • Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
  • Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
  • Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
  • Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
  • Must have good judgement with the ability to think creatively and strategically

Qualifications
  • Strong business acumen and exceptional analytical ability, with 3+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
  • Preferred experience with Fintech, Payments, NeoBanking, Crypto, or Money Movement space.
  • Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
  • Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
  • Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
  • Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
  • You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
  • Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Mountain View $150,500 - $204,000
New York City $140,500 - $190,000

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