Quantitative Risk Internship (Summer 2023)

Anchorage Digital

United States




At Anchorage we are building the world’s most advanced digital asset platform for institutions to participate in crypto.


Founded in 2017, Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions.

With the first federally chartered crypto bank in the US, Anchorage offers institutions an unparalleled combination of secure custody, regulatory compliance, product breadth, and client service.

We’re looking to diversify our team with people who are humble, creative, and eager to learn.

We are a remote-first, global team, but provide the option of working in-office in San Francisco, New York City, Indianapolis, Sioux Falls, Porto, and Singapore.

Pursuing an advanced degree in a Quantitative discipline and interested in the crypto industry?  Come join our Summer 2023 internship program where you can build on your research and quantitative finance skills while learning more about the crypto industry!   The Quantitative Risk Intern will assist in maintenance of the current quantitative risk models as well as development of the next generation of the risk management framework at Anchorage.

The risk framework focuses on managing the firm’s credit, market, liquidity, and operational risk.

This includes assessing the creditworthiness of borrowers, monitoring market risks associated with digital assets, providing qualitative and quantitative analysis on borrowers and loan portfolios, and supporting growing product offerings.

The role provides an opportunity to research and develop risk models for digital assets while learning about trading and lending operations at Anchorage.

  

As a Quantitative Risk Intern, you will:

    • Conduct research to build and enhance quantitative risk management models
    • Write well-formulated documents of model specification and implementation testing
    • Collaborate with sales, lending, data science and trading teams
    • Effectively communicate research work and product designs across organizations and to management.

You may be a fit for this role if you:

    • Currently are studying an advanced degree in a quantitative discipline: e.

      g.

      Physics, Math, Statistics, Engineering and graduating in December 2023 or Spring/Summer 2024.

       
    • Have a strong knowledge of statistics and quantitative modeling, familiarity in advanced statistical modeling techniques and machine learning
    • Programming experience specifically in Python (pandas, numpy, sklearn, pytorch), SQL and cloud computing environments.

      Having experience with other mathematical computing tools (Julia, Matlab, R) is a plus.

    • Good communication skills and being able to work well independently or as part of the team

Although not a requirement, bonus points if:

    • Cloud Infrastructure: Docker, Terraform, Google Cloud Platform.

    • Good understanding about the digital assets space
    • Stochastic calculus knowledge 
    • Knowledge of credit/market risk and financial derivative products 



About Anchorage Digital – People: Who we are
The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in  the evolving digital asset ecosystem.

As  a diverse team of more than 300 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy.

 Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported and connected at work—regardless of who you are or where you come from.

We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

 Anchorage Digital is an Equal Opportunity Employer.

We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation.