Model Validation and Research Quant

About Anchorage Digital

At Anchorage Digital, we are building the world’s most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings.

The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn.

The Global Analytics Team

The Global Analytics team applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. We are seeking a Model Validation and Research Quant within our Economic & Regulatory Analysis pillar. This pillar of the Global Analytics team oversees the Model Risk Management program at Anchorage Digital Bank and provides expert guidance for issues related to capital planning, risk management, and regulatory matters. Given this broad mandate, this role requires dexterity due to the variety of analytics projects we undertake to support different functions.

Factors of Growth & Impact for Model Validation and Research Quant

We have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Model Validation and Research Quant role:

Technical Skills:

• Proficiency in a programming language such as Python, R, etc.
• Experience in SQL programming and working with large data sets.
• Skills in statistics or quantitative modeling (stochastic and econometric), research, and data analysis.
• Experience in risk management methods (e.g., VaR, expected shortfall, stress testing, backtesting, scenario analysis).

Complexity and Impact of Work:

• Drive model validation work independently, including leading from end-to-end with little oversight and coordinating activities of other team members.
• Assist with implementing and maintaining sound model governance, which includes model controls, inventory, reporting, and policies and procedures.
• Perform quantitative analytics and research to support business operations, financial forecasts, capital planning, risk management, and regulatory compliance.
• Assist in development and maintenance of statistical models relevant for market risk, credit risk, and stress testing purposes, including margin, pricing, and VaR applications.
• Participate in all aspects of the model life cycle, including design, implementation, testing, production, validation, and performance monitoring.

Organizational Knowledge:

• Have a deep knowledge of the strategy of Anchorage Digital and its various business lines.
• Familiarity with U.S. banking regulatory requirements and supervisory expectations, and understand their impact on the organization.

Communication and Influence:

• Demonstrate capability in writing, editing, or reviewing technical documents suitable for various contexts as relevant (e.g., regulatory or banking, internal or external stakeholders).
• Produce clear reports and presentations describing quantitative analytics projects and their results, interpreting them for senior management.
• Provide formal or on-the-job training to other staff on technical topics.
• Contributes to cross-functional projects, collaborates with their team and adjacent teams to solve problems, and assists or teaches other team members.

Candidate Profile:

You may be a fit for this role if you have:

• A Masters or Ph.D. degree in a quantitative field such as statistics, applied mathematics, economics, quantitative finance, and operations research.
• Direct work experience in compliance modeling and systems, risk measurement and management, and regulatory capital requirements.
• Hands-on experience in the entire model development lifecycle including research, implementation, ongoing monitoring, and production maintenance.
• Experience in writing, editing, or reviewing technical documents suitable for regulatory or banking context.

Although not a requirement, bonus points if:

• You've kept up to date with the proliferation of blockchain and crypto innovations.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :)

Key skills/competency:

• Model Validation
• Quantitative Analysis
• Risk Management
• Regulatory Compliance
• Statistical Modeling
• Python/R
• SQL
• Data Analysis
• Stress Testing
• Financial Forecasting