Member of Risk Analytics, Model Development

  • 1 applications
  • Applications may have closed

Anchorage Digital

United States

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 (, 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 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

Listed in: , , , , , , , , , , , ,