First Derivative is driven by people, data, and technology, unlocking the value of insight, hindsight, and foresight to drive organizations forward. Counting many of the world's leading investment banks as clients, we help our clients navigate the data-driven, digital revolution that is transforming the financial services sector. Our global teams span across 15 offices serving clients across EMEA, North America and APAC.

As an EPAM Systems, Inc. (NYSE: EPAM) company, a leading global provider of digital platform engineering and development services, we deliver advanced financial services solutions by empowering operational insights, driving innovation, and enabling more effective risk management in an increasingly data-centric world. Together with EPAM, we combine deep industry expertise with cutting-edge technology to help clients stay ahead in a rapidly evolving financial landscape, offering comprehensive solutions that drive business transformation and sustainable growth.

Our client is looking to expand their team with KDB / Quant Developers to support upcoming demand in trading and data analytics programmes. While project details are still evolving, the focus will be on quantitative development, working closely with trading and quantitative teams. This role will suit candidates with a strong quantitative mindset, experience working with financial datasets, and the ability to build high-performance data analytics solutions.

Responsibilities

• Develop and enhance KDB+/q data platforms for trading and analytics use cases
• Work with large-scale time-series trading data (equities and options)
• Build analytics pipelines to support quantitative research, reporting, and trading insights
• Collaborate with traders and quantitative analysts to deliver data-driven solutions
• Design and optimise data ingestion, querying, and performance tuning within KDB environments
• Use Python for data analysis, tooling, and integration with analytics workflows
• Support development of data models and analytics frameworks aligned to trading use cases

Requirements

• Strong KDB+/q experience
• Proven Python skills for data analysis and/or quantitative development
• Experience working with financial markets data (preferably equities and/or options)
• Solid understanding of data analysis, statistics, and quantitative methodologies
• Desirable
• Experience working in front-office or trading environments
• Exposure to quant research, modelling, or strategy development
• Knowledge of market microstructure or derivatives data
• Experience handling large-scale, high-frequency datasets

We offer

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

For remote work in New York City only.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, 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.
Engineer the Future with a Career at EPAM

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $160,000 - $240,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

EPAM will not provide new H-1B visa sponsorship for this position. Candidates with existing transferable H-1B status may be considered.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.