Quantitative Developer - Execution Services

Nutanix; London; On-site; USD 160,000 - 250,000; Full time

Job summary

An innovative firm is seeking a driven Quantitative Developer to enhance execution analytics and transaction cost analysis. This role involves collaborating with quants and traders to design and implement key models while contributing to a dynamic codebase. The ideal candidate will have extensive experience in KDB within a Quantitative Finance environment, showcasing strong analytical abilities and communication skills. Join a team at the forefront of technology and quantitative analysis, where your contributions will directly impact trading efficiency and execution risk management.

Qualifications

• 7+ years of KDB experience in a Quantitative Finance setting.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Collaborate with stakeholders to deliver key models and metrics.
• Make significant contributions to the codebase in a dynamic environment.

Skills

KDB

Analytical Skills

Problem Solving

Communication Skills

Execution Analytics

Python

Machine Learning

Cloud Tooling

Job description

Quantitative Developer - Execution Services

The Execution Services team is responsible for trade execution across a wide range of products and geographies, with a focus on minimizing trading costs and execution risk.

We are looking for a highly driven, results oriented Quantitative Developer to join our team focusing on execution analytics & transaction cost analysis (TCA). We are at the forefront of industry-leading initiatives applying technology, quantitative analysis, and data-driven methodologies to our execution process.

Principal Responsibilities

• Collaborate with key stakeholders across Execution Services including quants and traders, to deliver key models & metrics, and to guide the overall direction & design of the platform.
• Make large contributions to the codebase, working in an iterative and dynamic environment.
• Support, maintain and test own code following best-practices including unit testing, documentation and automation within typical CI processes.

Qualifications/Skills Required

• 7+ years of KDB in a Quantitative Finance setting.
• Highly analytical and strong problem-solving skills and attention to detail.
• Strong communication skills with the ability to explain technical and sophisticated concepts clearly and concisely.
• Experience with execution analytics and global equities research highly preferred.
• Experience with Python, ML, pykx or cloud tooling is a bonus.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.