Hello everyone,
I am preparing my Global Talent Visa application under Exceptional Promise (Digital Technology) and would appreciate feedback on my evidence structure.
Background:
Trading Systems Engineer at KBIT, a crypto hedge fund in London (£55k). MSc Big Data and Machine Learning, University of Westminster 2024. Started as a Blockchain Developer at Nethermind in 2022. Founder of RegChain, a UK crypto compliance platform live at regchain.uk.
KBIT runs a live statistical arbitrage strategy across 80+ crypto instruments. My role covers production data pipelines, trading infrastructure, PnL systems and 24/7 on-call responsibility.
Key evidence:
RegChain is live with 100+ users and revenue in first month. Registered at Companies House. Directly addresses FCA crypto authorisation deadline (CP25/40, CP25/41, CP25/42).
Two working papers on SSRN — Bitcoin behaviour during geopolitical conflicts (VAR, DCC-GARCH, XGBoost, LSTM) and Polymarket manipulation analysis. 56+ organic downloads in two weeks. A professor at Universidad Carlos III de Madrid independently assessed the wartime paper as a realistic Finance Research Letters submission.
Three merged PRs to CCXT (30,000+ GitHub stars) fixing production issues including a Hyperliquid memory leak.
Built Sentinel, a token risk monitoring system deployed at KBIT monitoring 74 instruments in real time. Used daily for position sizing and risk limits.
Proposed structure:
MC: UC3M professor recognition + £55k payslips + RegChain live product
OC2: Both SSRN papers + CCXT merged PRs
OC3: KBIT trading infrastructure + Sentinel system
Reference letters:
- CTO at KBIT, Forbes 10 under 10 recognised
- Associate Professor at a Russell Group university, Senior IEEE Member, 60+ published papers
- Engineer at Blockchain.com, Cambridge educated
Questions:
- Is OC2 + OC3 the right combination or should I use OC1 given RegChain traction?
- Is MC strong enough without press coverage or speaking engagements?
- Are the reference letter choices credible enough?
- What would you strengthen or remove?
Thank you.