Member of Risk Analytics, Model Development

at Anchorage Digital

United States, North America
287 d. ago
About the Job

At Anchorage Digital 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 Digital 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 friendly, global team, but provide the option of working in-office in San Francisco, New York City, Indianapolis, Sioux Falls, Porto, and Singapore.Anchorage Digital is building world class analytics management capabilities. We are looking for a talented analyst with strong technical skills and the ability to distill down complex concepts to simple narratives. You will have comfort testing financial crimes models/tools while re-imagining how the tolls can be improved to account for Anchorage Digital's risk profile. You will be comfortable with operational models, process improvement, building automation, developing interim tools, and partnering with engineers. Lastly, you enjoy partnering cross-functionally to drive core initiatives including risk assessments and enhancement of controls through automation.

As a Member of Risk Analytics, Model Development, you will...

    • Design and execute model testing and tuning plans to improve the efficiency of our systems
    • Collaborate with system and model owners to understand and address their program's needs
    • Maintain detailed documentation of the testing conducted on each model
    • Collaborate with engineering to build testing tools and dashboards for data quality monitoring
    • Coordinate multiple teams and systems to allows for necessary feedback loops between models
    • Assist in root cause analysis and remediation of model issues
    • Produce clear reports and presentations describing development projects and results, interpreting them for senior management.

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

    • Strong knowledge of financial crimes models with a focus on transaction monitoring systems including their development, testing, and tuning
    • Experience conducting basic statistical analysis such as evaluating customer activity across customer types
    • Experience in writing, editing, or reviewing technical documents in the regulatory or banking space
    • Proficiency of SQL programming and databases
    • Knowledge in a statistical programming language such as R, Python, SAS, or MatLab

Although not a requirement, bonus points if you have:

    • Experience with digital asset analytics (e.g., Chainalysis) and/or behavioral digital asset activity monitoring
    • Experience integrating machine learning into financial crimes models
    • Been emotionally moved by the musical Hamilton
About Anchorage Digital: Who we areThe 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.