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Member of Global Analytics Data Science

Anchorage Digital United States

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$746k · Senior Full-time Posted 3 days ago 6 min read

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 only 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 applies quantitative and technological expertise to empower the firm with advanced models, tools, and other analytical resources. This individual will play a central role in building and maintaining the data foundation that supports the Global Markets business. This position focuses on developing scalable data assets, analytics, and automation to enhance transparency, performance measurement, and decision support across trading and related functions. The role requires strong technical proficiency, analytical problem-solving, and the ability to work across teams in a fast-paced environment.

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 Member of Global Analytics, Data Science role:

Technical Skills:

Experience with modern cloud-based environments such as Snowflake, BigQuery, AWS, or GCP.
Familiarity with scheduling and transformation tools such as Airflow, dbt, or similar.
Ability to create clear, insightful dashboards in Tableau, Power BI, Looker, or equivalent platforms.
Strong understanding of data modeling, lineage, and validation best practices.
Comfortability using Git and modern workflow management practices.
Direct experience performing detailed and data intensive reconciliations with disparate datasets, preferably in the financial sector.
Familiarity with financial services regulatory reporting and related compliance standards.

Complexity and Impact of Work:

Designing and maintaining data pipelines that consolidate trade, position, and market information across multiple internal and external systems.
Delivering analytics that directly support daily trading operations, PnL reporting, and liquidity monitoring.
Balancing short-term tactical needs with longer-term data architecture improvements.
Developing standardized datasets and metrics that improve reporting accuracy and efficiency across the organization.

Organizational Knowledge:

Understanding trading and settlement workflows, including how data flows through related systems and reporting functions.
Applying knowledge of financial data structures to design relevant analytics for trading, liquidity, and risk management use cases.
Partnering with Finance, Operations, and Risk to ensure data consistency and reconcile differences across domains.
Demonstrating awareness of data dependencies tied to regulatory reporting, capital monitoring, and internal controls.

Communication and Influence:

Translating technical concepts into clear narratives and visuals for diverse audiences.
Building trust with stakeholders by delivering timely, accurate, and well-documented data outputs.
Working collaboratively across technical and business teams to align on data definitions and priorities.
Providing visibility into data quality and process improvements, driving adoption of shared analytics resources.
Serving as a reliable partner to Trading, Finance, and Operations in identifying and solving data-related challenges.

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

Bachelor’s or advanced degree in Computer Science, Statistics, Information Systems, Economics, or a related quantitative discipline; advanced degree preferred.
2-4 years of experience in data science, analytics, or data management, ideally within financial services, trading, or fintech.
Proven track record of developing scalable data solutions and delivering actionable insights in a multi-stakeholder environment.
Strong analytical skills, including the ability to handle large datasets and apply statistical or econometric tools.
High analytical rigor, cross-functional execution discipline, and attention to detail.

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. :)

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 are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. “Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation.

Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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