J

Jefferies

Global investment banking and capital markets

KDB Developer - Real Time Analytics

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$185k - $225kIn-person

About the Job

Requirements

  • At least 7 years of experience working with large-scale financial datasets, including real-time market data, order or execution data, and positions or time-series data.
  • At least 7 years of hands-on Kdb+/Q experience, including real-time data systems.
  • Experience working in Linux/Unix environments.
  • Understanding of time-series databases and architectures.
  • Understanding of real-time data streaming and processing.
  • Analytical and problem-solving skills.
  • Ability to work effectively in a fast-paced, collaborative environment.

Responsibilities

  • 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 for intraday monitoring and analytics use cases.
  • Develop efficient time-series data models and query frameworks for real-time and historical datasets.
  • Enhance system performance for high-throughput, low-latency analytics workloads.
  • Architect and implement scalable kdb infrastructure, including tickerplant, RDB, and HDB, to support 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.
  • Develop and automate data quality checks across real-time market data, transactional and execution data, and reference datasets.
  • Build monitoring and alerting frameworks to track latency, data completeness, system performance, and system health.
  • Partner with production support teams to troubleshoot real-time data issues and anomalies.
  • Collaborate with traders, quants, and engineering teams to translate business requirements into scalable technical solutions.
  • Contribute across the software development lifecycle, including design, development, testing, deployment, and optimization.
  • Produce technical documentation and system designs.
  • Ensure adherence to coding practices and industry standards.

Desired Qualifications

  • Experience in electronic trading or algorithmic trading environments.
  • Familiarity with market microstructure and trading workflows.
  • Familiarity with 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 such as AWS.
  • Experience with Agile development methodologies.

About the Company

Jefferies

Global investment banking and capital markets

Jefferies is a global, full-service investment banking and capital markets firm that serves investors, companies, and governments with advisory, sales and trading, research, and wealth and asset management. It provides M&A and restructuring advice, helps raise capital, trades financial instruments, covers market research, and manages investments for individuals and institutions. It stands out by offering a wide range of services under one roof through a network of more than 40 offices worldwide, giving clients broad market access and execution power. Its goal is to help clients navigate financial markets, raise capital, and grow wealth by providing practical advice, research, and execution across different geographies and asset classes.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1854

Recently Posted Jobs

Explore more opportunities at Jefferies

See more jobs