The Trading Infrastructure team is building a high-performance, front-to-back Trading Platform that supports multi-asset trading. The platform is designed to handle financial instruments with low-latency execution, robust risk controls, and seamless integration across trading, risk, operations, and finance workflows. The system is built with a modular architecture encompassing core components such as market data feeds, order gateways, execution algorithms, risk engines, UI dashboards, middle office reconciliation, and account infrastructure. We emphasize event-driven, deterministic system design, real-time observability, and strong security. Our tech stack includes Java (low-latency), Python, Web UI (React/Ag-Grid), Aeron, ClickHouse, Kubernetes, and modern CI/CD tooling, with a strong focus on automation, scalability, and performance. AI-assisted development tools are also leveraged to boost productivity and quality across the team. Responsibilities Design, provision, and maintain scalable infrastructure for our trading systems, including CI/CD pipelines, observability stack, and runtime environments. Administer and tune databases such as AWS Aurora, PostgreSQL, and ClickHouse. Automate provisioning and configuration of EC2 and related resources using Ansible and other infrastructure-as-code tools (e.g., Terraform). Ensure secure, stable environments through proper VPC design, IAM governance, and secret management. Build and maintain system metrics and alerts using Prometheus, Grafana, and Loki. Enforce GitHub repo and branching standards across development teams. Ensure cost-effective infrastructure usage through continuous monitoring, resource optimization, and cost control strategies across AWS and containerized deployments. Manage backup and disaster recovery procedures for all critical systems. Collaborate with engineering teams to containerize services and fine-tune runtime perfo
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Role overview
Job description
We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.
The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses.
1. Trading Operations and Performance Analysis with AI
Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations
Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.
Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.
Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics
2. Risk Monitoring & Control
Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.
Develop and maintain sophisticated risk reporting dashboards for the desk.
Experience: 3+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.
Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.
Financial Acumen: Good understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.
Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.
Capacity: Ability to thrive in a high-intensity environment requiring extended hours when necessary to meet global trading demands.
About this listing
- Listed from Crypto.com's careers site via Lever · last confirmed on the source 19 Oct 2026
- Posted 9 Oct 2026
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What they are looking for
Skills & requirements
Department · Trading
Hiring company
Crypto.com
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