Front-Office Data Support Analyst
1. Basic Information & Requisition Details
Job Title: Front-Office Data Support Analyst
Department: Capital Markets & Trading
Seniority / Level: Intern
Employment Type: Internship - 12 months
Location: London, UK
Target Start Date: ASAP
2. About the Role
Sit on the front-office trading desk at the centre of 21shares' ETF/ETP business, with direct, ongoing exposure to how the firm's data, products, and market activity connect
Work across three lenses on the desk's data: research (sourcing and structuring), reconciliation (validating accuracy against source systems), and performance (tracking and reporting on product and market activity), building and maintaining the underlying infrastructure via API and internal databases
Independently identify gaps in data coverage or reporting and take ownership of resolving them, rather than working purely to a fixed task list
Partner directly with product, research, and legal teams, translating data into outputs used both internally and externally
Gain in-depth knowledge in crypto , trading, research, operations and lifecycle of an asset manager in addition to deep knowledge on data analytics
3. Key Responsibilities
Data maintenance: Maintain and validate daily data feeds (NAV, AUM, flows, holdings, staking rewards, index values etc) across the internal database and third-party APIs, flagging discrepancies before they start affecting the product's health
Cross-functional collaboration: Serve as the link between the trading desk and the data/engineering team, translating desk requirements into technical specs and communicating data/system constraints back to trading and product stakeholders
Process automation: Identify manual or spreadsheet-based reporting workflows and replace them with Python/SQL scripts/Claude dashboards to reduce turnaround time and error rate as well as document the process.
External data validation: Support QA of data published to external channels (website, product pages, factsheets) to ensure consistency with the internal source of truth
Ad hoc requests: Handle ad hoc data requests from product development, risk, distribution teams etc
4. Qualifications & Skills
Required Qualifications
Bachelor or Master’s degree in Quantitative Finance, Mathematics, Engineering, Economics, or a related field
Strong experience coding in Python and SQL within a collaborative development environment (work, team projects, open-source etc)
Genuine interest in financial markets and curiosity to learn more on risk management, market dynamics, blockchain and DeFi concepts
Strong analytical and quantitative skills
Excellent communication and cross-team collaboration skills
Disciplined self-starter with a high degree of rigor and attention to detail
You like to challenge and be challenged to get the best solutions to a problem
Preferred Qualifications / Nice-to-Haves
Familiarity with financial products like ETPs and ETFs
Experience working directly with technical and development teams
Working knowledge of database systems (PostgreSQL or similar)
5. Candidate Criteria & Ideal Profile
Target Experience Level: Entry-level / Internship (prior data experience preferred)
Target Industries / Companies: Crypto, Asset Management, Fintech