Trading Analytics Developer, Quantitative Trading
Chicago, IL
- Pay
USD 100,000–120,000/year — pay source
Salary 100,000 – 120,000 USD per year Life @ Crypto.com
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsPreferred experience
- Experience in trading systems, quantitative finance, or financial technology
- Strong communication skills for cross-team collaboration
- Understanding of market data, data subscription using Rest API / Web Socket
- Knowledge of cryptocurrency markets, defi and related technologies
Qualification wording
Experience in trading systems, quantitative finance, or financial technology
Strong communication skills for cross-team collaboration
Understanding of market data, data subscription using Rest API / Web Socket
Knowledge of cryptocurrency markets, defi and related technologies
Tools in this posting
- Java
- Python
- SQL
- AWS
- BigQuery
- ClickHouse
- Grafana
- Kafka
- Kubernetes
- MongoDB
- Snowflake
- Spark
- Airflow
Source — Tool mentions in context
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
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.)
- 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
- 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
- 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
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
- 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
- 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
- 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)
Benefits in the posting
Full benefits wording- 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
- Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.
From the employer’s posting.
About Crypto
Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform.
In the employer’s words · Read in context
Job description
Job Responsibilities
- 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
- 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
AI Platform Development
Job Requirements
- 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
- 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
- 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
Data Platform Expertise
AI Platform Capabilities
Preferred Qualifications
- 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
- 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
Professional Attributes
Salary
100,000 – 120,000 USD per year
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 100,000 – 120,000 USD per year Life @ Crypto.com
- Location & working pattern
Chicago, IL
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.
More source context
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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 16, 2026
- Recorded sightings
- 19
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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