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Risk Data Science Research Jobs (NOW HIRING)

Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams * Worked with large, unfiltered data sets or data science research Level of Knowledge

... Data Science team. As an advanced-level individual contributor, you will design, build, and ... Conduct in-depth research to explore new data sources and develop novel algorithms that advance the ...

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

Manager Data Science

Philadelphia, PA ยท On-site

$115K - $192K/yr

AI for Science, Research Intelligence & Knowledge Discovery Lead the Teams Building AI That ... At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps.

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Risk Data Science Research information

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$41.5K

$142.5K

$201K

How much do risk data science research jobs pay per year?

As of Sep 12, 2026, the average yearly pay for risk data science research in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Risk Data Science Research jobs?

For Risk Data Science Research jobs, the most frequently searched job titles are:

Infographic showing various Risk Data Science Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Analyst - Risk & Analytics *** Direct End Client ***

Manhattan, NY โ€ข On-site

Projas Technologies, LLC
1 - 10 employees

Other

Re-posted 16 days ago


Job description

Data Analyst Risk & Analytics (Fintech)

As a Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Analytics and Insights team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.
Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)


Key Responsibilities:
  • Develop intuitive dashboards and visualizations to monitor performance and guide decisions.
  • Design and execute A/B tests and data-driven experiments to optimize business outcomes.
  • Communicate insights clearly to technical and non-technical stakeholders, including executives.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional data to detect trends, anomalies, and risk patterns.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Build and maintain clean, reliable data pipelines for monitoring and experimentation.
  • Identify and resolve gaps in data quality, availability, and structure.

Qualifications:
  • 5+ years in analytics, data science, or decision strategy roles (Fintech or Financial Services preferred).
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

senior business data analyst, risk analytics, fintech jobs, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, fraud detection, risk management, dashboard development, data science, financial services, experimentation, policy analytics, KPIs, OKRs, data storytelling, cross-functional collaboration