UK Crypto Tax reconciliation & data analysis

Description:

We are a UK-based accountancy firm specialising in Crypto tax, and we are looking for an experienced Crypto Tax Data Analyst to support ongoing client work.

This role is focused heavily on data analysis rather than traditional accounting.

Scope of work includes:

- Reviewing wallet and exchange data (CSV/API exports)
- Line-by-line transaction analysis
- Identifying and categorising taxable events under UK (HMRC) rules
- Reconciling discrepancies across wallets, exchanges, and DeFi activity
- Cleaning and structuring datasets for tax reporting
- Supporting preparation of outputs for final tax review

Typical clients include:
- High-volume traders
- DeFi users (staking, liquidity pools, bridging, etc.)
- NFT traders
- Individuals with complex multi-wallet activity

Requirements:

- Strong understanding of UK Crypto tax treatment (HMRC guidance essential)
- Proven experience using tools such as Koinly, Recap, CoinTracking or similar
- Ability to handle large datasets accurately and efficiently
- Strong analytical mindset and attention to detail
- Experience identifying errors, duplicates, missing cost basis, and incorrect classifications

Nice to have:

- Experience working with UK accountancy firms
- Familiarity with DeFi protocols and on-chain activity
- Basic Excel / data manipulation skills

Engagement:

- Ongoing work available for the right candidate
- Initially project-based, with potential for long-term collaboration

Trial Task (Important):

- Shortlisted candidates will be asked to complete a paid trial task. This will involve reviewing a sample dataset and:
- Identifying key issues (e.g. missing cost basis, incorrect classifications, duplicates)
- Providing a brief explanation of how you would resolve them
- Demonstrating your approach to structuring clean, usable data

This is a critical part of our selection process to ensure candidates can handle real-world Crypto data complexity.

To apply:
Please include:

Examples of similar Crypto tax work you’ve completed

Which software/tools you’ve used

Your approach to handling messy or incomplete datasets