Overview The Equities Data & Analytics Team is seeking an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows. This role focuses…
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$185k–$225k/yr
Full-time
Annual Discretionary Incentive And Retention Bonus, Medical Coverage, Dental Coverage, Vision Coverage, 401(k), Life Insurance
Posted 23d ago
~40 hrs/week
Responsibilities
Design and develop low-latency kdb+/q systems to ingest and analyze real-time market data and execution flows. Architect scalable infrastructure including tickerplants, RDBs, and HDBs while ensuring data quality and system performance.
Requirements
Requires over 7 years of experience with Kdb+/Q and large-scale financial datasets in a Linux/Unix environment. Candidates should have strong analytical skills and a deep understanding of real-time data streaming and time-series architectures.
Full job description
Overview
The Equities Data & Analytics Team is seeking an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows.
This role focuses on developing and maintaining low-latency data infrastructure, processing real-time ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quantitative, and risk teams.
The successful candidate will operate in a fast-paced environment, partnering closely with traders, quants, developers, QA, and production support teams to create scalable, reliable, and secure data systems.
Key Responsibilities
Real-Time Data & Analytics Engineering
Design and develop low-latency kdb+/q systems to ingest, process, and analyze real-time market data, ticker data, and order/execution flows
Build and optimize streaming analytics pipelines to support intraday monitoring and analytics use cases
Develop efficient time-series data models and query frameworks for both real-time and historical datasets
Enhance system performance for high-throughput, low-latency analytics workloads
Platform Development & Architecture
Architect and implement scalable kdb infrastructure (tickerplant, RDB, HDB) supporting enterprise data needs
Develop and maintain API-driven data services for downstream consumers, including trading and analytics applications
Build reusable, library-grade components to standardize data access, transformation, and analytics functionality
Implement secure access controls and authentication layers for data platform usage
Data Quality, Monitoring & Controls
Develop and automate data quality checks across:
real-time market data
transactional and execution data
reference datasets
Build monitoring and alerting frameworks to track:
latency
data completeness
system performance and health
Partner with production support teams to troubleshoot real-time data issues and anomalies
Collaboration & Delivery
Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions
Contribute across the full software development lifecycle (design, development, testing, deployment, and optimization)
Produce clear and comprehensive technical documentation and system designs
Ensure adherence to best coding practices and industry standards
Required Qualifications
7+ years of experience working with large-scale financial datasets, including:
real-time market data
order/execution data
positions or time-series data
7+ years of hands-on Kdb+/Q experience, including real-time data systems
Strong experience working in Linux/Unix environments
Solid understanding of:
time-series databases and architectures
real-time data streaming and processing
Strong analytical, problem-solving, and communication skills
Ability to work effectively in a fast-paced, collaborative environment
Preferred Qualifications
Experience in electronic trading or algorithmic trading environments
Familiarity with:
market microstructure and trading workflows
low-latency system design principles
Working knowledge of Python or Java for integration and tooling
Experience implementing authentication and entitlement frameworks
Exposure to cloud platforms (e.g., AWS)
Experience with Agile development methodologies
Key Attributes
Strong ownership mindset and ability to deliver end-to-end solutions
Ability to think critically and propose innovative ideas
Proven track record of delivering high-quality systems in production environments
Collaborative team player with strong communication skills
What This Role Offers
Opportunity to work on mission-critical, real-time analytics systems
Direct exposure to front-office trading environments and workflows
Ownership of high-impact data infrastructure and platforms
A combination of kdb engineering, real-time systems, and advanced analytics development
Primary Location Full Time Salary Range of $185,000 - $225,000.
Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.
Jefferies, the global investment banking firm serving clients for more than 60 years.
Industry
Investment Banking
Company size
5,001-10,000 employees
Founded
1962
Headquarters
New York City, New York
LinkedIn followers
694,855
Total funding
$15M
Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies and governments.
More about our company can be found at www.jefferies.com.
Offices: 520 Madison Avenue, 10th Floor, New York City, New York 10022, US · 100 Bishopsgate, London, England EC2N 4JL, GB · Cheung Kong Center, 2 Queen's Road Central , 22nd FL, Central, Hong Kong, HK · 1450 Brickell Ave, Miami, FL 33131, US · 520 Madison Ave, New York, NY 10022, US
Based on 7321 listings with disclosed salaries, most engineering jobs in New York pay between $80k–$210k per year. Individual offers vary with seniority, company size, and specialization.
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