Trading Analytics Developer, Quantitative Trading

Crypto.com; Chicago (IL); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Annual leave entitlement

401(k) plan with employer match

Health, dental, vision, and life/disab

Hybrid work setup

Internal mobility program

Job summary

Crypto.com is seeking an experienced Trading Analytics Developer to join our Quant Trading team. You will bridge traditional quantitative development with AI platform engineering, building scalable systems for data analytics and AI workloads.

You will design data pipelines, analytics engines, and AI tooling, while ensuring reliability, performance, and actionable insights across trading domains. Hybrid setup with strong collaboration across teams.

Qualifications

• 5+ years production experience with Python and Java in high-performance environments.
• Strong fundamentals: design, data structures, algorithms, data integrity, performance.
• Expertise with Linux, Github, and CI/CD practices.
• Proven experience with AWS cloud services and Kubernetes orchestration.
• Comfort with large-scale financial/trading datasets.

Responsibilities

• Design, build, and operate high-throughput data pipelines using Kafka, Flink, and ETL technologies.
• Develop analytics models for time-series and trading activity.
• Manage analytical databases (ClickHouse, MongoDB, BigQuery, Snowflake) with cost-aware architecture.
• Build and maintain AI platforms serving multiple trading teams.
• Create monitoring for data quality, freshness, and pipeline reliability.

Skills

Python

Java

Linux

GitHub

CI/CD

AWS

Kubernetes

SQL

Airflow

Kafka

Flink

Tools

Spark

ClickHouse

MongoDB

BigQuery

Snowflake

Grafana

TradingView

Jenkins

AMPS

LangGraph/A2A/MCP

Job description

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.

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. Empower 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.

Work Flexibility Adoption. Flexi-work hour and hybrid set-up

Aspire career alternatives through us - our internal mobility program offers employees a new scope.

Benefits

Competitive salary

Attractive annual leave entitlement including: birthday, work anniversary

401(k) plan with employer match

Eligible for company-sponsored group health, dental, vision, and life/disability insurance

Work Flexibility Adoption. Flexi-work hour and hybrid set-up

Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.

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.comis 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.

Please note that only shortlisted candidates will be contacted.

We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.