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3 часа назад

Senior Financial Risk Analyst (Fintech)

86 000 - 130 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Financial Risk Analyst (Fintech): Monitoring corporate liquidity risks and investments while developing financial risk models to support rapid organizational growth. Focus on forecasting balance sheet items, conducting deep-dive quantitative analysis into market drivers, and building automated data pipelines to surface capital and counterparty credit risks.

Location: Must be based in Chicago, IL; Menlo Park, CA; or New York, NY

Salary: $86,000 - $130,000 USD (based on compensation zone)

Company

A mission-driven fintech company democratizing finance for all through innovative investment and wealth management platforms.

What you will do

  • Monitor and report on daily financial risks across the firm, ensuring timely escalation of material exposures.
  • Conduct deep-dive quantitative analyses into liquidity risks emerging across the ecosystem.
  • Enhance and maintain liquidity risk models and forecasting frameworks.
  • Partner with Data Science and Engineering teams to design dashboards, automated alerts, and data pipelines.
  • Collaborate with Finance and Product teams to assess emerging risks associated with new business initiatives.

Requirements

  • Bachelor's degree in mathematics, computer science, engineering, or a related field.
  • 1–3 years of experience in data analytics, risk management, or a comparable analytical role.
  • Advanced proficiency in SQL and Python.
  • Solid grounding in financial risk methodologies including Value-at-Risk, stress testing, and scenario analysis.
  • Understanding of macroeconomics, financial markets, and investment theory.
  • Demonstrated ability to build and own end-to-end processes in fast-moving environments.

Nice to have

  • Advanced graduate degree such as an MFE.
  • Experience developing production-grade financial models in Python or R.
  • Familiarity with derivatives, futures, leveraged products, and digital assets.
  • Hands-on experience with AI/ML tooling and business intelligence platforms like Superset or Looker.
  • Knowledge of ETL pipelines and workflow orchestration tools such as Airflow.

Culture & Benefits

  • Performance-driven compensation including bonus programs and equity ownership.
  • 100% paid health insurance for employees with 90% coverage for dependents.
  • 401(k) matching and employer-paid life and disability insurance.
  • Flexible lifestyle wallet for wellness and learning expenses.
  • Comprehensive time off including holidays, parental leave, and sick time.

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