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 ~100 engineers, 5,500+ instruments, $1.27T client volume in Q1 2026. Alongside it I build Fintecy, SHIP, and Parenza.
- Client trading volume in Q1 2026Capital.com
- $1.27T
- Instruments, regulated in 5 jurisdictionsCapital.com
- 5,500+
- Updates through the real-time risk engineOtkritie Broker
- 1M+/s
- Roundtrip for liquidity aggregation and routingRevolut
- <60ms
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.
Nov 2025 – present
London
$1.27T per quarter
VP Product & Engineering
- Enterprise
- Transformation
- Technology strategy for a 1,300-person organisation
- Own the trading-platform end to end — 87 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)
Jun 2025 – Oct 2025
London
Seed → Series A
Angel investor, advisor, then CTO
- 0→1
- Hands-on
- 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
Feb 2023 – Jun 2025
London
$300B+ AUM
Chief Technology Officer (CTO)
- 0→1
- 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
Feb 2020 – May 2023
London
$650M+ AUM
Head of Wealth & Trading Platform
- Hyperscaler
- 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
Jan 2019 – Feb 2020
Moscow
FX + Fixed Income desks
Engineering Lead
- Enterprise
- Transformation
- 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
Sep 2018 – Jan 2019
Moscow
400k+ investors
Head of Division
- Enterprise
- 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
Sep 2016 – Sep 2018
Moscow
1M+ updates/sec
Lead Software Engineer
- Hands-on
- 0→1
- 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
Sep 2010 – Sep 2016
Worldwide
Software Engineer → Lead Engineer
- Hands-on
Before fintech
- 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
- MBACity Business School
- M.S. Computer & Information Systems SecurityPSUTI
- Oracle Certified Java SE 8 ProgrammerOracle
- Project Management SpecializationUC Irvine
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.
| Measure | What was built | Where |
|---|---|---|
| Greeks & vol smile | In-house derivatives pricing engine — options pricing, Greeks, implied vol and the volatility smile | Otkritie Broker |
| SPAN margining | Portfolio margin across futures and options on index, commodity, FX and single stocks, for 400k+ investors | Otkritie Broker |
| 1M+ updates/sec | Real-time risk engine covering margin strategies, overnight swaps, and repos | Otkritie Broker |
| FX → Fixed Income | Extended the FX desk risk calculator to Fixed Income, replacing Excel workflows with a live web platform | Deutsche Bank |
| VAR/ES · DV01 | Greenfield risk system — mark-to-market, collateral and variation margin, Greeks and accruals | Revolut |
| <60ms roundtrip | Liquidity aggregation with smart order routing and hedging algorithms | Revolut |
| $1.27T volume | Multi-asset execution across 5,500+ instruments, regulated in 5 jurisdictions | Capital.com, Q1 2026 |
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.
Knowledge
Read the notes →Markets, derivatives & risk
Options pricing, the risk systems underneath them, and the reading that shaped both — each one something I have built in production rather than read about. The pages that carry numbers run on the same model as the calculators.
AI engineering
Building with models and agents in production: the harness around the model, the workflows that keep it honest, and the knowledge it reads and writes.
GeekBrains University
Java teacher, part-time · 2017 – 2019
- Architecture and design patterns in Java — GoF, MVC, three-tier
- Professional Java — generics, JDBC, concurrency, reflection, annotations
- Intermediate Java — OOP, collections, Swing, networking
- Basic Java — language fundamentals
What others say
Notes from executives and technical leaders I have worked alongside.
“Anton is a rare blend of deep fintech expertise and strategic leadership. At Deutsche Bank, he led the expansion of our FX risk platform to Fixed Income, replacing legacy systems with a scalable, high-performance risk solution. His ability to architect complex financial systems while aligning stakeholders made a lasting impact.”
Alexander BeloturkinDirector, FX Risk IT at Deutsche Bank “Anton doesn't just build technology—he creates strategic advantages. His leadership in developing an in-house derivatives pricing engine gave us unprecedented control over margin trading, improving risk limits and significantly boosting trading volumes.”
Alex MaslakovCIO at Otkritie Broker
Get in touch
Direct channels for product, leadership, or expert conversations.
- Emailanton@batiaev.com
- LinkedInlinkedin.com/in/batiaev
- Telegram@batiaev_com
- GitHub@batiaev
- Book 30 minutes@batiaev
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