Industries · Capital Markets

Trading technology that holds when the market moves.

Market making, forex and CFD brokerage, algorithmic trading, exchange and post-trade systems, built by teams that understand latency budgets, risk limits and the questions a regulator asks after a volatile session.

Typical engagement
10–18 people
Latency focus
Quote to fill
Market hours
24/5 follow-the-sun
Risk lead
Embedded
Where the pressure is

The problems that arrive on a CIO's desk in this industry.

Latency is a product feature

For a market maker or a forex broker, every millisecond between price, quote and fill is spread given away. Generalist teams build for correctness; trading teams build for correctness under load, at speed, during a news release.

Liquidity and bridge integration

Prime brokers, liquidity providers, FIX sessions, MT4 and MT5 bridges and aggregation layers each bring their own protocols, failure modes and reconciliation breaks.

Risk and compliance in real time

Pre-trade limits, margin calls, exposure netting and best-execution evidence have to run inside the trading path, and be explainable to the regulator afterwards.

Senior quants and engineers are scarce

Low-latency C++, Java and Rust engineers, quant developers and trading infrastructure specialists are rare in any single market, and the hiring cycle is longer than the opportunity window.

What we do here

Teams and platforms shaped for the sector.

Team build

Trading platform engineering teams

Low-latency backend, API, web and mobile engineers under a Webist PM, SA and DevOps, building order management, pricing, execution and client portals to the roadmap.

Market making

Pricing, quoting and hedging engines

Quote generation, inventory and skew management, hedging automation and kill switches, with latency and fill quality measured per venue and per instrument.

Forex and CFD brokerage

Broker platforms and liquidity bridges

MT4, MT5 and proprietary platform integration, liquidity aggregation, A-book and B-book routing, broker CRM, IB and affiliate management, and onboarding with KYC and AML built in.

Algorithmic trading

Strategy infrastructure

Backtesting, simulation and live execution frameworks with market data pipelines, strategy sandboxes and controls that stop a misbehaving algorithm before the risk desk has to.

Data + AI

Trade, risk and surveillance data

Order, trade, position and client objects feeding real-time risk, trade surveillance, best-execution reporting and AI assistants for dealing and support desks, with approval gates.

Specialists

Resilience and security

DevOps, DBA and Cybersecurity Engineer as a service for co-location and cloud estates, failover drills, tick-data stores and penetration-tested client surfaces.

Regulatory and technical context

Obligations we design for from week one.

The Solution Architecture phase maps these to the target architecture, the security baseline and the team's KPIs, so compliance is built in rather than audited in.

  • Securities Commission MalaysiaCapital Markets and Services Act 2007 licensing, the Guidelines on Technology Risk Management and recognised market operator rules for platforms serving Malaysian investors.
  • Labuan FSALabuan Financial Services Authority licensing for money broking and securities businesses, commonly used by forex and CFD brokers serving regional clients.
  • Regional regulatorsMAS (Singapore), SFC (Hong Kong), ASIC (Australia), FCA (United Kingdom) and CySEC (Cyprus) conduct, client-money and reporting rules where a broker holds several licences.
  • Market standardsFIX protocol for order routing and drop copies, FpML for derivatives, and venue-specific APIs for market data and execution.
  • Operational resilienceOutage, failover and recovery expectations for trading venues and brokers, including capacity planning for volatility events, rollovers and scheduled news releases.
  • AML and client onboardingAnti-Money Laundering, Anti-Terrorism Financing and Proceeds of Unlawful Activities Act 2001 (Malaysia) and equivalent regimes: KYC, sanctions screening, transaction monitoring and record-keeping.
A typical team shape

Designed in the roadmap phase, then recruited to it.

Illustrative. Every structure is set in the Solution Architecture phase against your roadmap and budget.

  • LeadershipProject Manager, Solution Architect with trading systems and FIX integration experience
  • PlatformDevOps Engineer with low-latency and failover focus, DBA for time-series and tick data, Cybersecurity Engineer
  • AssuranceQA / Test Lead with simulation, replay and performance testing of the trading path
  • Engineers4–6 low-latency backend, 2 quant developers, 2–3 web and mobile for client portals, 1–2 data
  • WhereLeadership in Kuala Lumpur; engineers on managed cloud desktops across the three talent pools, with follow-the-sun coverage for 24/5 markets
Also on webist.com.my
Client stories in this industry
Related services

Start with a free 30-minute discovery call.

Tell us where you are. You get an estimated quotation within 48 hours, a clear plan, and a working team in eight weeks.

Empower your business with AI. Turn data into autonomous actions.