VP, KDB Developer (Real Time Analytics)

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.