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2 дня 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 Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Financial Risk Analyst (Fintech): Monitoring corporate liquidity risks and developing financial risk models to prepare the organization for rapid growth with an accent on liquidity risk monitoring and forecasting. Focus on building data-driven models, designing automated alerts, and conducting deep-dive quantitative analyses into market drivers.

Location: Must be based in the US (specific zones including CA, NY, WA, DC, CO, TX, IL, FL)

Salary: $86,000 - $130,000 USD (depending on location zone)

Company

A financial services company on a mission to democratize finance for all.

What you will do

  • Monitor and report on daily financial risks across the firm and ensure timely escalation of material exposures.
  • Conduct deep-dive quantitative analyses into liquidity risks within the hirify.global ecosystem.
  • Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management.
  • Partner with Data Science and Engineering to design dashboards, automated alerts, and data pipelines for Treasury.
  • Collaborate with Finance and Product teams to assess risks associated with new products and 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.
  • Must be located in or be able to work from the listed US compensation zones.

Nice to have

  • Advanced graduate degree such as an MFE.
  • Experience deploying production-grade financial models in Python or R.
  • Familiarity with derivatives, futures, leveraged products, and digital assets.
  • Experience with time series modeling, regression techniques, and AI/ML tooling.
  • Knowledge of BI platforms (Superset, Looker) and ETL tools (Airflow).

Culture & Benefits

  • Eligibility for bonus opportunities and equity.
  • Comprehensive benefits package.
  • Opportunity to work at the epicenter of a historic cultural and financial wealth transfer.
  • Inclusive environment welcoming different backgrounds and perspectives.

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