Front-Office Data Support Analyst

About 21shares

21shares makes investing in digital assets as easy as buying shares using your conventional broker or bank. Investors can purchase our crypto ETPs easily, safely and securely in a regulated framework on the SIX Swiss Exchange in USD, Euros and GBP, on BX Swiss in CHF, on Boerse Stuttgart in Euros, on DB Xetra as well as Wiener Boerse ( Vienna Exchange) in Euros. We offer the most expansive suite of crypto ETPs available on regulated European exchanges.

Founded in 2018, 21shares is led by a team of talented entrepreneurs and experienced professionals from the asset management and banking industry. Headquartered in Zurich, the company has launched several exchange-traded products such as NEAR and ONDO in the last twelve months.

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