Anchorage Digital is looking to build and maintain the data foundation that supports the Global Markets business by developing scalable data assets, analytics, and automation to enhance transparency, performance measurement, and decision support across trading and related functions.
Requirements
- 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.
Responsibilities
- 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.
- 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.
Other
- 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.
