Anton Batiaev
Fintech builder

Anton Batiaev

I build fintech products — algo, execution, and pricing non-linear risk is the part I never got tired of.

VP Product & Engineering at Capital.com — lead trading-platform with 77 engineers, 5,500+ instruments, $1.27T client volume in Q1 2026. Alongside it I build Fintecy and SHIP.

See the track record

Now

Previously

Selected experience

Four kinds of company, one track record

Enterprise investment banks, hyperscalers, 0 → 1 startups, and platform transformation — each role is labelled with what it actually was.

  1. Nov 2025 – present

    • Enterprise
    • Transformation

    VP Product & Engineering

    Capital.com · London

    • Technology strategy for a 1,300-person organisation
    • Own the trading-platform tribe end to end — 77 engineers plus product
    • Multi-asset CFD platform: 5,500+ instruments, $1.27T client trading volume in Q1 2026
    • Risk-committee input across 5 regulators (FCA, CySEC, ASIC, Bahamas SCA, UAE SCA)

  2. Jun 2025 – Oct 2025

    • 0→1
    • Hands-on

    Angel investor, advisor, then CTO

    Nevis · London

    • Backed the company as an angel and advised a founder before incorporation, then stepped in as CTO to take the platform through its Series A
    • Built engineering from zero to 7 engineers through the stealth period
    • Automated digital account opening across Schwab, Fidelity, and Goldman Sachs
    • AI retrieval stack — full-text plus semantic search and RAG over advisor documents
    • SOC 2 Type 1 and Type 2 on a multi-tenant wealth platform
    Related public note

  3. Feb 2023 – Jun 2025

    • 0→1

    Chief Technology Officer (CTO)

    Vega · London

    • Grew the company from a single engineer (me) to a 50-person organisation — 35+ engineers plus product and design
    • Raised $1M pre-seed → $20M Series A, valuation $10M → $90M
    • Platform live across Apollo funds and investor types — $300B+ in alternative assets
    • Architecture survived two business-model pivots: B2C → B2B2C → B2B
    • Hands-on delivery alongside executive ownership
    Related public note

  4. Feb 2020 – May 2023

    • Hyperscaler

    Head of Wealth & Trading Platform

    Revolut · London

    • Led the platform tribe — 24+ direct and 50+ indirect reports across execution, market making, market data, risk, and brokerage
    • Built a greenfield risk system: mark-to-market, collateral and variation margin, VAR/ES, DV01, Greeks, book value and accruals
    • Portfolio systems handling $650M+ AUM across fixed income, FX/IR derivatives, and spot FX, crypto and commodities
    • Liquidity aggregation with smart order routing and hedging algorithms at <60ms roundtrip
    • Launched brokerage in Australia, Singapore and the US; moved the EU market to an omnibus model via Upvest
    • Expanded coverage by +50 crypto tokens and +7 fiat currencies
    Related public note

  5. Jan 2019 – Feb 2020

    • Enterprise
    • Transformation

    Engineering Lead

    Deutsche Bank · Moscow

    • Extended the FX desk risk calculator to Fixed Income
    • Migrated Excel-based risk workflows to a live web platform
    • Connected multiple upstream systems into the new risk stack
    • Aligned stakeholders up to MD level across the organisation

  6. Sep 2018 – Jan 2019

    • Enterprise

    Head of Division

    Otkritie Broker · Moscow

    • Took over the division: 10 engineers across low-latency and high-frequency trading
    • Owned the risk and derivatives-pricing stack serving 400k+ investors
    • Margin strategies including overnight swaps and repos

  7. Sep 2016 – Sep 2018

    • Hands-on
    • 0→1

    Lead Software Engineer

    Otkritie Broker · Moscow

    • Built the in-house derivatives pricing engine — options pricing, Greeks, implied vol and the volatility smile for MOEX instruments
    • Built the real-time risk engine at 1M+ updates/sec
    • SPAN portfolio margining across futures and options on index, commodity, FX and single stocks
    • Structured products, including autocallables
    • Technical lead with no reports — wrote the low-latency Java and C++ myself

  8. Sep 2010 – Sep 2016

    • Hands-on

    Software Engineer → Lead Engineer

    Before fintech · Worldwide

    • Taxi dispatch automation (Sherlock) — real-time order routing at scale of 600+ cars in London, Moscow, Paris and lot more
    • Retail POS and fiscal-register software (ATOL Frontol) — payment terminals, hardware integration, offline-first sync
    • Backend in Java and C++; infrastructure and observability on-premise and on GCP
    • Front-end in Qt, Angular and TypeScript; voice recognition and chatbots with CMU Sphinx
    • Not fintech — but six years of real-time, hardware-adjacent systems is where the latency instincts came from

Education & certifications

  • MBA · City Business School
  • M.S. Computer & Information Systems Security · PSUTI
  • Oracle Certified Java SE 8 Programmer · Oracle
  • Project Management Specialization · UC Irvine
The through-line

One problem, every role

Ten years, four employers, one recurring problem: pricing non-linear risk and keeping it correct in real time. Same problem each time, with a bigger blast radius.

  • Greeks & vol smileIn-house derivatives pricing engine — options pricing, Greeks, implied vol and the volatility smile · Otkritie Broker
  • SPAN marginingPortfolio margin across futures and options on index, commodity, FX and single stocks, for 400k+ investors · Otkritie Broker
  • 1M+ updates/secReal-time risk engine covering margin strategies, overnight swaps, and repos · Otkritie Broker
  • FX → Fixed IncomeExtended the FX desk risk calculator to Fixed Income, replacing Excel workflows with a live web platform · Deutsche Bank
  • VAR/ES · DV01Greenfield risk system — mark-to-market, collateral and variation margin, Greeks and accruals · Revolut
  • <60ms roundtripLiquidity aggregation with smart order routing and hedging algorithms · Revolut
  • $1.27T volumeMulti-asset execution across 5,500+ instruments, regulated in 5 jurisdictions · Capital.com, Q1 2026
Building

Two products of my own

Fintecy pulls a scattered financial life into one place. SHIP gives engineering teams a typed graph their agents can actually write to. Both are registered companies in private beta, and both started as problems I hit myself.

Fintecy

A single entry point for your financial life

Connect brokers and banks read-only, get FIFO realised P&L across accounts, and plan long-horizon with data you own.

Registered company with its own trademark and ICO data-protection registration — built to hold real account data, not just demo it.

Private beta · waitlist open

SHIP

A typed knowledge graph for engineering teams

Goals, decisions, and artefacts as typed nodes instead of prose. Agents read and write the graph over MCP, and every agent write carries provenance and an audit trail.

Provenance is the design constraint: each node records which agent or human wrote it, from which source, and what it superseded.

Private beta · waitlist open

In public

Teaching & tools

Conference talks since 2019, four Java courses taught at GeekBrains while running a division, a knowledge base on options, and a set of free calculators — because explaining a thing is how I check I still understand it.

Tools

Free, no signup, nothing leaves your browser · all calculators

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Selective

Advisory & diligence

Building and operating come first. A small number of advisory slots for founders and investors who need fintech judgment, architecture de-risking, or technical diligence.

See how that works
Contact

Get in touch

Direct channels for product, leadership, or expert conversations. Advisory bookings live on the advisory page; code lives on GitHub.

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