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
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
Develop vector search systems with optimized HNSW indexing and hybrid retrieval capabilities
Implement evaluation frameworks for retrieval quality (Recall@K, MRR, nDCG) and RAG systems
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 and BI tools
Kafka, Flink, and event processing in production environments

AI Platform Capabilities
Vector search system design and optimization (recall/latency/memory trade-offs)
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
LangGraph / LangChain to build AI workflow and to connect AI models with data and tools to create smarter applications.

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 @

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.

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:visa card provided upon joining

Ourbenefits packages vary depending on region requirements, you can learn more from our talent acquisition team.

About:

Founded in 2016,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,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.

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.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.

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.

Trading Analytics Developer, Quantitative Trading