обновлено 2 дня назад
Risk Data Analyst (Fintech)
112 400 - 135 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Risk Data Analyst (Fintech): Supporting risk portfolio programs and strategic execution across credit, fraud, and reputational risk with an accent on process automation, AI-assisted tooling, dashboards, vendor management, and data-driven controls. Focus on analyzing project performance, building visual insights, tracking ROI and governance, and aligning cross-functional risk initiatives.
Location: United States; remote-eligible role
Salary: $95,500–$114,800, $101,200–$121,500, or $112,400–$135,000 USD annually, depending on geographic zone
Company
Financial automation company providing tools that help businesses manage cash flow, process payments, and automate financial operations.
What you will do
- Develop and execute strategic risk portfolio plans from scoping through completion, using statistical and analytical techniques to identify performance patterns and early risk indicators.
- Build operating frameworks and deploy workflow automation and AI-assisted tools, including LLM copilots, to reduce manual processes.
- Design advanced dashboards and visual narratives in Tableau, AWS QuickSight, or similar tools for project sponsors and leadership.
- Manage third-party vendors by tracking performance, evaluating ROI, monitoring budgets, and ensuring measurable value for risk programs.
- Maintain project trackers, timelines, governance records, and audit documentation while coordinating with Strategy, Product Management, Engineering, risk analysts, and data scientists.
- Develop data-driven recommendations for controls and risk strategies across credit, fraud, and reputational risk.
Requirements
- At least 2 years of experience in risk management, portfolio analytics, program management, or a related field in financial services, ecommerce, or fintech.
- Experience independently managing medium-scale, cross-functional programs or workstreams, including deliverables, tracking, and timelines.
- Hands-on experience with third-party vendor management, performance measurement, audit requirements, and ROI reviews.
- Working knowledge of payment products and credit, fraud, or reputational risk principles.
- Ability to turn complex data and risk analysis into actionable recommendations and structured presentations.
- Must already be authorized to work in the United States without requiring visa sponsorship now or in the future.
Nice to have
- Experience evaluating or deploying AI and automation tools such as Claude, Gemini, GitHub Copilot, or similar LLM-powered assistants.
- Proficiency in SQL, Python, or R.
- Lean Six Sigma Green Belt or similar process improvement experience.
- Bachelor’s or Master’s degree in Business Administration, Finance, Computer Science, Economics, Mathematics, or a related field.
Culture & Benefits
- Medical, dental, and vision plans with HMO, PPO, and HDHP options.
- HSA and FSA accounts, life insurance, and long- and short-term disability coverage.
- 11+ observed holidays, wellness days, and flexible time off.
- 401(k) retirement plan, employee stock purchase program, wellness initiatives, and an employee assistance program.
- Inclusive workplace focused on diverse perspectives and cross-functional collaboration.
Hiring process
- Hiring evaluations must follow ’s candidate integrity policy; unapproved external assistance, including generative AI, is prohibited during live interviews or assessments.
- Accommodations are available at every stage of the hiring process.
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