AI Engineer, Trading Ops & Management

Posted 22 Days Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Mid level
Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Role
Lead the modernization of trading operations through AI, machine learning, and automation. Manage trade lifecycles, P&L attribution, reconciliations, data integrity, risk monitoring, and performance reporting across multi-asset trading activities. Build agentic AI workflows, predictive risk models, anomaly detection tools, automated commentary, and real-time dashboards using Python, SQL, LLMs, and MLOps technologies.
Summary Generated by Built In

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.

Key Responsibilities:

    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.

Requirements & Qualifications:

  • 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.

Skills Required

  • 3+ years of experience in front-office operations, quantitative development, or risk management and systems architecture within a financial institution
  • Expert proficiency in Python for AI and machine learning
  • Strong SQL skills
  • Experience building agentic AI workflows
  • Understanding of P&L attribution and financial controls
  • Understanding of market risk indicators, including Greeks and VaR
  • Understanding of financial markets and products
  • Systems-thinking approach to automating manual operational processes
  • Ability to work extended hours when necessary to support global trading demands

Crypto.com Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Crypto.com and has not been reviewed or approved by Crypto.com.

  • Fair & Transparent Compensation — Pay is considered market‑competitive in select engineering, product, trading, compliance, and senior roles, with external postings and salary snapshots indicating strong bands in some geographies. Standout offers appear at higher levels, reinforcing that top‑of‑band packages are attainable in certain teams.
  • Healthcare Strength — Benefit descriptions include medical, dental, and vision coverage across U.S. roles. Core health insurance is presented as part of a standard modern fintech package alongside other essentials.
  • Leave & Time Off Breadth — Benefit materials reference PTO, sick time, and attractive annual leave with additional days for occasions. Time‑off provisions are positioned as a consistent element of the offering, with regional variation.

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The Company
HQ: Singapore
4,266 Employees
Year Founded: 2016

What We Do

Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. Crypto.com serves over 10 million customers today, with the world’s fastest growing crypto app, along with the Crypto.com Visa Card — the world’s most widely available crypto card, the Crypto.com Exchange and Crypto.com DeFi Wallet.

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