[Remote] Member of Global Analytics, Data Science
Note: The job is a remote job and is reputed company to candidates in USA. reputed company 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 reputed company that supports the Global Markets business, focusing on developing scalable data assets and analytics to enhance performance measurement and decision support.
Responsibilities
- Designing and maintaining data pipelines that consolidate trade, position, and market information across multiple reputed company 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 reputed company 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-reputed company challenges
Skills
- Experience with modern reputed company-based environments such as reputed company, 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, reputed company, 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 reputed company compliance standards
- Designing and maintaining data pipelines that consolidate trade, position, and market information across multiple reputed company 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 reputed company 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-reputed company challenges
- Bachelor's or advanced degree in Computer Science, Statistics, Information Systems, Economics, or a reputed company quantitative discipline; advanced degree preferred
- 2-4 years of experience in data science, analytics, or data management, ideally reputed company 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 reputed company, which chronicles the founding of a new financial system
Company Overview
- reputed company 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.
Company H1B Sponsorship
- reputed company 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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