EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a KDB Lead Developer to join our front-office technology team, supporting algorithmic trading and high-frequency trading (HFT) initiatives.
This role focuses on developing and optimizing time-series analytics systems, collaborating with quants, traders and technologists to deliver robust, low-latency solutions for market data analysis and strategy performance.
Responsibilities
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Design, develop and maintain KDB+/q-based data capture, analytics and visualization platforms
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Optimize time-series data queries and real-time analytics pipelines for performance and scalability
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Work with quantitative researchers and algo developers to deliver high-performance metrics and diagnostics tools
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Integrate KDB systems with market data feeds, order management systems and trading platforms
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Build dashboards and monitoring tools for algorithm performance and market behavior
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Maintain large-scale tick data stores including data hygiene, normalization and lifecycle management
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Collaborate with DevOps and Infrastructure teams to ensure system reliability and uptime
Requirements
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8-12 years of professional experience developing with KDB+/q in a financial or trading environment
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Solid understanding of market data such as Level 1/2, order book dynamics, trades and quotes
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Familiarity with algorithmic trading concepts including VWAP, TWAP, arrival price, slippage and market impact
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Strong background in time-series data structures, analytics and performance tuning
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Proficiency in integrating KDB with Python, Java or Kafka and REST APIs
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Excellent problem-solving skills and a proactive detail-oriented mindset
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Effective communicator able to collaborate across business and technical teams
Nice to have
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Experience with real-time market data capture and event processing
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Knowledge of equities, FX, futures or fixed income trading workflows
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Familiarity with data visualization tools such as Dash, Grafana or custom q dashboards
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Experience working in low-latency high-throughput environments
We offer
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Opportunity to work on technical challenges that may impact across geographies
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Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
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Opportunity to share your ideas on international platforms
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Sponsored Tech Talks & Hackathons
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Unlimited access to LinkedIn learning solutions
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Possibility to relocate to any EPAM office for short and long-term projects
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Focused individual development
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Benefit package:
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Health benefits
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Retirement benefits
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Paid time off
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Flexible benefits
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Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
