Front Office Data Support Analyst

21Shares helps investors access digital assets by providing regulated crypto ETPs and ETFs through traditional brokers.

Pelikanstrasse 37, 8001 Zurich, Switzerland, Switzerland

Funding history

About 21Shares

21Shares helps institutional and retail investors access digital assets by providing regulated crypto exchange-traded products through traditional brokers. With it, you can invest in various digital assets and crypto baskets, trade on major exchanges, and manage exposure.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will support the front-office trading desk by sourcing, structuring, reconciling, and reporting data related to ETF and ETP products. You will maintain data infrastructure through APIs and internal databases, automate reporting processes, validate externally published data, and coordinate requirements with technical and business stakeholders.

Requirements

  • Bachelor's or Master's degree in Quantitative Finance, Mathematics, Engineering, Economics, or a related field
  • Experience coding in Python and SQL in a collaborative development environment
  • Interest in financial markets, risk management, market dynamics, blockchain, and DeFi concepts
  • Analytical and quantitative skills
  • Communication and cross-team collaboration skills
  • Attention to detail

Responsibilities

  • Maintain and validate daily data feeds, including NAV, AUM, flows, holdings, staking rewards, and index values
  • Flag data discrepancies before they affect product health
  • Translate trading-desk requirements into technical specifications and communicate data and system constraints to stakeholders
  • Replace manual and spreadsheet-based reporting workflows with Python, SQL, and Claude dashboard solutions
  • Document automated reporting processes
  • Support quality assurance of data published on websites, product pages, and factsheets
  • Handle ad hoc data requests from product development, risk, and distribution teams
  • Identify and resolve gaps in data coverage or reporting
  • Partner with product, research, and legal teams to translate data into internal and external outputs