Member of Global Risk Management, Quantitative Financial Risk

2 weeks, 6 days ago
Full-time
Lead
Data Science and Analytics
Anchorage Digital

Anchorage Digital

Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions. With the only federally chartered crypto bank in the US, as well as Anchorage Digital Singapore, which offers e...

Capital Markets
251-1K
Founded 2017
$487M raised

Description

  • Design, build, and maintain quantitative analysis tools for credit, market, and liquidity risk assessment.
  • Build scalable Python analytics pipelines to automate reporting, data transformation, and real-time risk monitoring.
  • Execute portfolio margin stress tests and scenario analysis under tight deadlines and deliver actionable insights.
  • Lead end-to-end development of quantitative tools from problem definition through production deployment.
  • Run ad-hoc real-time analysis when the business needs answers quickly.
  • Navigate ambiguous risk problems by selecting appropriate quantitative methods and explaining trade-offs to stakeholders.
  • Break down large projects into manageable workstreams, estimate scope accurately, and deliver commitments.
  • Collaborate with Trading, Sales, Compliance, Treasury, and Operations to embed risk analysis into business decisions.
  • Monitor industry trends, regulatory developments, and emerging best practices in quantitative risk management.
  • Translate complex quantitative concepts into clear insights for technical and non-technical audiences and mentor junior team members.

Requirements

  • 8+ years of experience in quantitative finance, financial risk management, or a related quantitative discipline.
  • Advanced degree, such as a Master's or PhD, in a quantitative field.
  • Proven track record of building quantitative analysis tools for risk management across credit, market, and liquidity risk.
  • Deep expertise in risk monitoring and reporting, including real-time risk dashboards and executive-level risk reports.
  • Experience with portfolio stress testing and scenario analysis in a professional setting.
  • Experience working with large datasets and analytical tools to support risk analysis.
  • Experience with regulators and regulatory exams.
  • Strong curiosity and a proactive approach to exploring data and new angles.
  • Ability to drive initiatives independently, solve problems proactively, and take accountability for results.
  • Experience with digital assets, crypto, or blockchain-related financial products is preferred.
  • Understanding of operational risk and how it intersects with credit, market, and liquidity risk is preferred.

Interested in this position?

Apply directly on the company website

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