Senior/Staff Software Engineer, Liquidity Platform, Risk & Analytics
9.0/10
Okx
$135,000 – $225,000 USD
Hybrid
senior
13 days ago
cryptodevfintechPythonJavaSQLRedisKafkaAWSAliCloudRESTful APIsLinux/Unix
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Description
What You’ll Be Doing
- •Build the Next-Generation Risk System (Green-Field): Join a green-field initiative to re-architect and implement our next-generation risk platform in Java from the ground up. You'll have meaningful ownership over technology choices, architecture, and engineering culture for a system that will become the backbone of risk management across our liquidity business.
- •Develop Advanced Risk Solutions: Design and implement internal risk monitoring and management systems tailored to strategic and business needs — including real-time market data analysis, PnL and risk calculations, automated alerting, reporting tools, circuit-breaking strategies, and high-availability architecture.
- •Strengthen Risk Controls: Optimize existing risk control frameworks and logic to enhance system efficiency, prevent or minimize losses during market volatility, and ensure effective risk mitigation under diverse market scenarios.
- •Continuous Improvement: Collaborate with risk managers and product managers to gather feedback and refine the risk management system through iterative development.
- •Drive Cross-Functional Projects: Oversee project progress and coordinate with trading desk developers, risk managers, operations teams, and other key stakeholders to deliver high-quality solutions on time.
- •Mentor & Share Knowledge: Guide junior engineers in establishing best practices and methodologies for building and maintaining risk control systems.
Perks & Benefits
- •Competitive total compensation package
- •L&D programs and Education subsidy for employees' growth and development
- •Various team building programs and company events
- •Wellness and meal allowances
- •Comprehensive healthcare schemes for employees and dependants
- •More that we love to tell you along the process!
Requirements
What We Look For In You
- •Passion for Finance & Technology: Strong enthusiasm for trading, blockchain, and the broader financial industry.
- •Basic Financial Knowledge: Working understanding of financial markets, instruments, and core concepts such as PnL, margin, leverage, and market risk. Prior experience building or operating risk systems is a strong plus.
- •Educational Background: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline. A combined background in finance is highly advantageous.
- •Industry Experience: 5+ years of experience in quantitative trading or front-office technology roles at exchanges, banks, or investment institutions. Experience with market-making teams, crypto exchanges, or event-contract / prediction-market platforms is a significant plus.
- •Technical Expertise:
- •Programming: Advanced Python skills; Java proficiency strongly preferred given the greenfield re-platforming work.
- •Data & Messaging: SQL, Redis, and Kafka.
- •Cloud: Familiarity with major cloud platforms such as AliCloud or AWS.
- •APIs: Practical experience with RESTful APIs and web services.
- •Environment: Comfortable navigating Linux/Unix shell environments.
- •Agentic Programming Fluency: Familiarity with agentic programming concepts (LLM-powered coding agents, tool use, multi-step autonomous workflows) and actively using them — either in your day-to-day work or through serious self-directed learning. Hands-on use of agentic coding tools such as Claude Code or Codex on real production work is a significant plus. We expect engineers on this team to amplify themselves with AI tooling, not just talk about it.
- •Risk & Compliance Mindset: Strong aptitude for risk control and compliance, with the ability to adapt systems to evolving control and regulatory requirements.
- •Analytical & Collaborative Skills: Strong logical thinking, effective teamwork, and excellent communication skills. Proven ability to organize and align resources to solve complex problems and achieve cross-departmental objectives.
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