Marqeta

Senior Data Analytics Engineer – Risk, Fraud and Disputes

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, BiotechnologyIndustries

About the Role

We are looking for a highly analytical and technically proficient Senior Data Analytics Engineer to join our Risk, Fraud, and Disputes Engineering team. In this cross-functional and strategic role, you’ll own the design and development of scalable, reliable data assets that drive real-time fraud detection, dispute operations, and regulatory reporting. You'll be instrumental in bridging data engineering with analytical needs, enabling high-quality decisions through structured, labeled data and actionable insights using ML models.

We work Flexible First. This role can be performed remotely anywhere within the United States. We’d love for you to join us!

The Impact You'll Have

  • Partner with risk/fraud/dispute engineers, data scientists, and product managers to understand business needs and translate them into data-driven solutions.
  • Lead the creation of labeled datasets to support supervised machine learning and rules-based fraud detection and chargeback prediction.
  • Partner with ML engineers and backend teams to productionize data.
  • Analyze large transactional, fraud, and chargeback data to uncover trends, detect anomalies, and support deep-dive investigations (e.g., Chargeback win/loss rates, Fraud rates, anomalous Merchant behavior etc).
  • Create and maintain real-time dashboards and reporting for key KPIs across Fraud, Risk, and Disputes for leadership, operations, and product teams.
  • Recommend data improvements to enhance fraud and chargeback detection capabilities and reduce false positives/negatives.
  • Act as a domain expert in fraud and dispute data, supporting internal investigations and external customer data queries.
  • Partner with Finance or Operations to answer questions about dispute costs, win/loss rates, and more.
  • Collaborate with Engineering to develop and maintain Airflow pipelines and ETL workflows to support scalable data pipelines.

Who You Are

  • 5+ years of experience in data analytics, data science, or data engineering, preferably in fraud, risk, dispute, payments, or financial services.
  • Advanced SQL skills with a strong understanding of analytical functions, performance tuning, and ETL best practices.
  • Deep understanding of risk, fraud signals, disputes domain or related data patterns.
  • Strong data intuition: able to translate vague problem statements into structured data analysis or model features.
  • Experience with data visualization tools (Looker, Tableau etc).
  • Ability to translate business needs into technical solutions and data structures.
  • Comfort working with ambiguous data problems in a fast-paced, high-stakes environment.
  • Strong communication and collaboration skills—ability to work cross-functionally with Product, Engineering, and Ops.
  • Familiarity with Airflow, dbt, or equivalent ETL/ELT tooling.

Nice-To-Haves

  • Experience labeling data for ML models or partnering with ML engineers on feature creation.
  • Understanding of card network chargeback rules, fraud reason codes, or dispute lifecycle.
  • Python or R for advanced analytics or light ML tasks.

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

  • National: A baseline tier that applies to most of the geographic territory of the United States.
  • Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
  • Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

Natio

Skills

Data Analytics
Data Science
Data Engineering
Fraud Detection
Dispute Resolution
Machine Learning
ETL
Airflow
SQL
Data Warehousing
Data Modeling
Business Intelligence
Risk Management
Data Visualization
Python

Marqeta

Card issuing and payment processing solutions

About Marqeta

Marqeta provides modern card issuing and payment processing solutions in the fintech sector. Its platform allows businesses to create, issue, and manage payment cards tailored to their specific needs, such as expense management and consumer payments. The service operates through an open API, enabling clients to integrate Marqeta's capabilities into their own applications. This flexibility sets Marqeta apart from competitors, as it caters to a diverse range of clients, including financial institutions and tech companies. The company generates revenue primarily through transaction fees each time a card is used, along with potential setup and service fees. Marqeta's ability to quickly adapt to the growing demand for digital payments, especially during the COVID-19 pandemic, has contributed to its significant presence in the market.

Oakland, CaliforniaHeadquarters
2010Year Founded
$526.5MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
501-1,000Employees

Benefits

Medical, dental, & vision coverage
Flexible time off
Paid family leave
Pet insurance
401k match
Equity
Monthly stipends
Company recognition & awards
Employee Stock Purchase Program

Risks

Class action lawsuit may harm Marqeta's reputation and investor confidence.
Increased regulatory scrutiny could raise compliance costs for Marqeta.
EWA platforms might disrupt Marqeta's traditional card issuing model.

Differentiation

Marqeta's open API platform allows for highly customizable payment solutions.
The company operates in 40 countries, offering a global card issuing platform.
Marqeta's cloud-based infrastructure enables instant access to scalable payment systems.

Upsides

Partnership with Slope taps into the growing Buy Now, Pay Later market.
Demand for flexible working capital solutions boosts Marqeta's embedded finance offerings.
Smarter AI models enhance Marqeta's payment processing capabilities.

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