Trading Analytics Developer, Quantitative Trading
Job summary: Seeking a knowledgeable Trading Analytics Developer to join Quant Trading team and drive our data and AI infrastructure forward. This position involves merging traditional quantitative development with advanced AI platform engineering, with a focus on constructing sturdy, scalable systems to cater to data analytics and artificial intelligence tasks across a range of high-performance trading systems.
Role Responsibilities
Data Platform & Analytics
- Conceive, construct, and run high-speed batch and streaming data pipelines utilizing Kafka, Flink, and ETL technologies
- Devise and create a centralized analytics engine targeted at handling extensive data through Apache Spark and related tools
- Develop and enhance analytical data models for financial metrics, time-series, and trading activities
- Build and supervise analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with a cost-efficient design
- Develop resilient data pipelines with robust backfill and reconciliation functionalities
- Establish thorough monitoring systems for data quality, freshness, and pipeline dependability
AI Platform Development
- Devise, construct, and maintain internal AI platforms that serve multiple trading teams
- Construct reusable AI tools such as standardized RAG pipelines, prompt management, and self-serve workflows
- Create and manage agent systems utilizing modern frameworks (LangGraph, A2A, MCP) with a focus on controllability and visibility
Role Requirements
Mandatory Skills
- 5+ years of practical experience with Python and Java in high-performance environments
- Proficient in software engineering principles: system design, data structures, algorithms, data accuracy, and performance optimization
- Mastery of Linux, Github, and contemporary CI/CD practices
- Demonstrated expertise with AWS cloud services and Kubernetes orchestration
- Comfort working with large, complex datasets in finance/trading environments
Data Platform Knowledge
- Advanced proficiency in SQL involving window functions and query optimization, real-time data synchronization, and database design with infrastructural support
- Experience with data workflow and messaging orchestration tools such as Airflow, Jenkins, AMPS, etc.
- Implementing metrics for trading analytics (PnL, balance, risk, trade reconciliation), backfill, and performance tuning
- Proficiency in visualizing time-series data using tools like Grafana, TradingView, web-based dashboards, and BI tools
- Operational experience with Kafka, Flink, and event processing in production setups
AI Platform Expertise
- Evaluation methodologies for retrieval systems and quality frameworks
- RAG pipeline architecture and optimization strategies
- Management of LLMOps practices including model lifecycle and prompt management
- Working knowledge of AI agent frameworks like A2A and MCP in production scenarios
Preferred Qualifications
Financial/Trading Domain
- Background in trading systems, quantitative finance, or financial technology
- Understanding of market data and data subscription via Rest API/Web Socket
- Knowledge of cryptocurrency markets, defi, and associated technologies
Professional Attributes
- Excellent problem-solving abilities and capability to handle pressure
- Strong communication skills essential for cross-team collaborations
- Proactive approach to system reliability and performance enhancement
- Continuous learning mindset in the evolving AI/ML landscape
- Ability to balance engineering rigor with innovative solution development
Offered: $100,000 - $120,000 annually
Interested in joining our team? Apply now for this exciting opportunity!
Benefits
- Competitive salary
- Generous annual leave entitlement including birthday and work anniversary
- 401(k) plan with employer match
- Eligibility for company-sponsored group health, dental, vision, and life/disability insurance
- Flexibility in work hours and hybrid setups
- Internal mobility program for career growth opportunities
Founded in 2016, the organization is an equal opportunities employer driven by diversity, inclusion, and transparency. Embrace the chance to work in a dynamic, innovative environment where your skills can thrive and make an impact on the advancement of digital ecosystems.
Candidates should note that personal data is collected solely for recruitment purposes. Only shortlisted applicants will be notified.
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