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Data Analyst Fintech Jobs in Virginia (NOW HIRING)

ID.me

Fraud Investigations Analyst

Mclean, VA

Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows Preferred Qualifications * Experience working at a fintech company, technology company ...

Lendable

Business Analyst

Arlington, VA

We're building one of the world's leading fintech companies and are off to a strong start: * One of ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

Range

Support Analyst

Mclean, VA · On-site

... and data as directed • Be an active part of a collaborative team and share best practices • ... FinTech experience • BS or BA • An interest in the tech industry and/or consumer fintech ...

Forhyre

Senior Product Analyst

Mclean, VA · On-site +1

... of fintech, SMB software, and consumer services. About the Role As a Senior Product Analyst at ... Collaborating with leaders across Product, Design, Analytics Engineering, Data Engineering, and the ...

Range

Support Analyst

Mclean, VA · On-site

... and data as directed • Be an active part of a collaborative team and share best practices • ... or FinTech experience • BS or BA • Experience using financial services technology • An ...

ID.me

Fraud Investigations Analyst

Mclean, VA · On-site

Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows Preferred Qualifications * Experience working at a fintech company, technology company ...

Mission Lane

Senior Treasury Analyst

Richmond, VA

$82K - $97K/yr

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... Familiarity with regulatory requirements and compliance standards within the fintech industry (for ...

New

ID.me

Senior Fraud Investigations Analyst

Mclean, VA · On-site

... data analysis and collaboration with various teams. Responsibilities : • Lead complex account ... fintech company, technology company, or reputable financial institution • Strong experience ...

Range

Support Analyst

Mclean, VA · On-site

Maintain success metrics and data as directed * Be an active part of a collaborative team and share ... SaaS startup or FinTech experience preferred * Strong problem-solving and written communication ...

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All JobsData Analyst Fintech JobsData Analyst Fintech Jobs in Virginia

Data Analyst Fintech information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data analyst fintech jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst fintech in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

Is a data analyst a fintech job?

A data analyst in fintech is a role that involves analyzing financial data to support decision-making, often using tools like Excel, SQL, and data visualization software. This position typically requires understanding financial concepts and may involve working with financial transactions, risk assessment, or customer data within the financial technology industry.

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 as a data analyst in fintech?

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.

What are the most commonly searched types of Data Analyst Fintech jobs in Virginia? The most popular types of Data Analyst Fintech jobs in Virginia are:
What are popular job titles related to Data Analyst Fintech jobs in Virginia? For Data Analyst Fintech jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analyst Fintech jobs in Virginia look for? The top searched job categories for Data Analyst Fintech jobs in Virginia are:
Data Analyst Fintech jobs near you
Infographic showing various Data Analyst Fintech job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Fraud Investigations Analyst

ID.me

Mclean, VA

Full-time

Re-posted 25 days ago

ID.me rating

5.6

Company rating: 5.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

228th of 242 rated software companies

Job description

Fraud Investigations AnalystRole Overview

ID.me is looking for an Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role centers on investigating account takeover (ATO) activity, analyzing fraud signals, and supporting detection efforts that protect millions of users.

We are seeking someone who goes beyond basic case handling and can analyze trends, identify patterns across multiple accounts, and leverage data to inform investigations. As an Analyst, you will work across fraud detection tools, datasets, and risk systems to uncover coordinated fraud activity and contribute to improving detection capabilities.

This role is based out of our McLean, VA office and requires full-time in-office attendance.

Responsibilities
  • Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
  • Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
  • Use SQL, Python, or similar tools to query datasets and support investigations
  • Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
  • Execute investigations and document findings, escalating higher-risk or complex cases as needed
  • Support tuning and optimization of fraud detection rules, alerts, and signal usage
  • Partner with cross-functional teams to improve fraud detection coverage and data quality
  • Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
  • Leverage AI/LLM tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts
Basic Qualifications
  • Bachelor's degree from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
  • 2+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
  • 1+ years of experience using SQL, Python, or similar tools to analyze fraud data or investigate trends
  • 1+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
  • 1+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
  • Familiarity with using AI/LLM tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows
Preferred Qualifications
  • Experience working at a fintech company, technology company, or reputable financial institution
  • Experience analyzing organized fraud rings or large-scale fraud patterns
  • Familiarity with machine learning-driven fraud detection systems or AI-assisted analysis

What ID.me employees say

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Hours and flexibility

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