Quantitative Research Internship (Summer 2023)
atAnchorage Digital
Sep 03
Anchorage Digital makes it simple and secure for institutions to build products and gain exposure to digital assets as the first federally chartered digital asset bank. With secure custody at its core, Anchorage is the premier partner for institutions and corporations. Anchorage offers financial solutions for today and tomorrow. Learn more at anchorage.com.
Anchorage Digital was founded in 2017 to advance institutional participation in digital assets. Anchorage began as the leader in digital asset custody, solving private key security, and expanded its offerings to make every form of institutional participation as seamless as possible through Lending, Trading, Financing, Staking, and Governance, all integrated with secure, regulated custody. Today, Anchorage brings the best of modern security engineering to institutional custody and banking.
Anchorage Digital Bank received the first federal banking charter for a digital bank and converted from its South Dakota trust charter in January 2021.
Anchorage Digital raised $350 million in a December 2021 Series D funding round that valued Anchorage at over $3 billion. Led by global investment firm KKR, other participants included Goldman Sachs, Andreessen Horowitz, Apollo credit funds, funds and accounts managed by BlackRock, Blockchain Capital, GIC, Lux Capital, PayPal Ventures, Thoma Bravo and Wellington Management. Its advisors include Stanley Druckenmiller, Kevin Warsh, Max Levchin, and Elad Gil.
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 a Master’s in Financial Engineering or similar degree and interested in the crypto industry? Come join our Summer 2023 internship program on the Data Science Team where you can build on your research and quantitative finance skills while learning more about the crypto industry!  The Data Science team serves a crucial role in the development of new products and performing critical research functions inside Anchorage in support of all growing product lines. The products developed by the Quantitative Researcher leverage the core Anchorage Platform to expand the capabilities of desk operations in providing clients with financial products and services.  Given Anchorages role in the crypto-space, this is an opportunity for fast paced growth and new product development at a blinding speed.
As a Quantitative Research Intern, you will:
- Conduct research and development of statistical and quantitative models to support various Anchorage business lines.
- Work with the engineering, risk, lending, and brokerage teams to develop & deploy ideas from start to finish.
- You will be responsible for working on various aspects of product development, research, deployment and maintenance of data ETL pipelines, models, tooling and infrastructure.
- Effectively communicate research work and product designs effectively across organizations and to management.
You may be a fit for this role if you:
- Are pursuing a Master’s of Financial Engineering or similar master’s or PhD degree and will be graduating in December 2023 or Spring/Summer 2024.
- Have a solid understanding of, or excitement for, probabilistic reasoning and thinking of hard / practical data problems.
- Are comfortable using standard data science computing environments: e.g. Python (pandas, numpy, sklearn, pytorch), SQL and cloud computing environments.Â
- Understand econometric modeling techniques such as: OLS, WLS, logit, etc.; familiarity in advanced statistical learning techniques and deep learning.
- Ability to manage multiple projects with competing priorities.
- Ability to find solutions to difficult problems and can think of systems level solutions.
Although not a requirement, bonus points if:
- You have exposure to the following:
- Cloud Infrastructure: Docker, Terraform, Google Cloud Platform.
- Data Store: GC Storage, No-SQL, kDB.
- You have the desire to take an idea from concept to launch and beyond.Â
- Have experience with other mathematical computing tools (Julia, Matlab, R) is a plus.
- You have experience within the financial industry. Â
- You have executed product development to satisfy client needs.
- Thrive in environments where ideas become live, scaled products/projects.Â
- You read statistics, quantitative finance or blockchain protocol papers on your off time.
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