[Remote] Member of Global Analytics, Data Science

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Note: The job is a remote job and is open to candidates in USA. Anchorage Digital is a leading crypto platform enabling institutions to participate in digital assets. The Member of Global Analytics, Data Science will play a key role in building and maintaining the data foundation that supports the Global Markets business, focusing on developing scalable data assets and analytics to enhance performance measurement and decision support.

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
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
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

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
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
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
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
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
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

Anchorage Digital is a regulated crypto platform that provides institutions with integrated financial services and infrastructure solutions. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 501-1000 employees. Its website is https://www.anchorage.com.

Anchorage Digital has a track record of offering H1B sponsorships, with 16 in 2025, 7 in 2024, 1 in 2023, 9 in 2022, 2 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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