Trading Analytics Developer, Quantitative Trading

Full Time Entry Level

Job description

The Quant Trading team is responsible for trading and managing risks associated with different crypto products, including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform & Analytics

Design, build, and operate high throughput batch and streaming data pipelines using Kafka, Flink, and ETL technologies

Design and build unified analytics engine designed for processing large-scale data using Apache Spark and related tools

Develop and optimize analytical data models for time-series, financial metrics, and trading activity

Implement and manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake, or similar) with cost-aware architecture

Build idempotent data pipelines with robust backfill and reconciliation capabilities

Create comprehensive monitoring for data quality, freshness, and pipeline reliability

AI Platform Development

Design, build, and operate internal AI platforms serving multiple trading teams

Build reusable AI tooling including standardized RAG pipelines, prompt management, and self-service workflows

Create and maintain agent systems using modern frameworks (LangGraph, A2A, MCP) with focus on controllability and auditability

Job Requirements Mandatory Foundations

5+ years production experience with both Python and Java in high-performance environments

Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, accuracy and performance optimization

Expertise in Linux, Github, and modern CI/CD practices

Proven experience with AWS cloud services and Kubernetes orchestration

Comfort working with large-scale, complex datasets in financial/trading contexts

Data Platform Expertise

Advanced SQL with window functions and query optimization, realtime data synchronization together with database design and infrastructure support

Experience with data workflow and messaging orchestration (Airflow, Jenkins, AMPS etc.)

Metric design and implementation for trading analytics (PnL, risk, balance and trade reconciliation, backfill and performance tuning)

Time-series data visualization with Grafana, TradingView, web-based interactive dashboards and BI tools etc.

Kafka, Flink, and event processing in production environments

AI Platform Capabilities

Retrieval system evaluation methodologies and quality frameworks

RAG pipeline architecture and optimization techniques

LLMOps practices including model lifecycle and prompt management

Experience with AI agent frameworks in production settings like A2A and MCP

Preferred Qualifications Financial/Trading Domain

Experience in trading systems, quantitative finance, or financial technology

Understanding of market data, data subscription using Rest API / Web Socket

Knowledge of cryptocurrency markets, defi and related technologies

Professional Attributes

Excellent problem-solving skills with ability to perform under pressure

Strong communication skills for cross-team collaboration

Proactive approach to system reliability and performance optimization

Continuous learning mindset in rapidly evolving AI/ML landscape

Balance of practical engineering rigor with innovative solution development

Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformational and proactive working environment. Elevate employees to find thoughtful and innovative solutions. Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth. Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another. One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet. Are you ready to kickstart your future with us? Benefits Competitive salary Medical insurance package with extended coverage to dependents Attractive annual leave entitlement including: birthday, work anniversary Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. Work Perks: crypto.com visa card provided upon joining Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team. About Crypto.com: Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at https://crypto.com. Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only.

Required skills

kafka snowflake accuracy compliance java ci/cd communication skills problem-solving security github sql etl python aws kubernetes software engineering rest api jenkins airflow grafana artificial intelligence linux data analytics mongodb ai/ml data integrity data quality quantitative finance cryptocurrency mcp performance tuning continuous learning risk data pipelines clickhouse langgraph bigquery bi tools reconciliation innovative solutions privacy market data algorithms performance optimization system design database design rag pipelines defi trading analytics amps ai platforms data infrastructure data structures trading systems cross-team collaboration tradingview flink query optimization apache spark infrastructure support scalable systems llmops financial metrics quantitative trading financial technology digital ecosystem backfill event processing large-scale datasets time-series quality frameworks ai agent frameworks metric design a2a ai infrastructure pnl system reliability auditability agent systems cryptocurrency markets ai capabilities high-performance environments financial contexts crypto.com quant trading quantitative development window functions model lifecycle prompt management analytical databases trading activity controllability engineering rigor pipeline reliability balance reconciliation trading analytics developer ai platform engineering high-performance trading systems analytics engine analytical data models idempotent data pipelines self-service workflows trading contexts realtime data synchronization data workflow orchestration messaging orchestration trade reconciliation time-series data visualization retrieval system evaluation rag pipeline architecture data subscription web socket

Trading Analytics Developer, Quantitative Trading

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