Quantitative Researcher - Execution Services

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

Job summary

An established industry player is seeking a talented Quantitative Researcher to join their Central Liquidity Strategies team. This exciting role involves designing and developing innovative models for alpha generation, focusing on market-making and pricing strategies for equities. The ideal candidate will have a strong background in Quantitative Finance, with a proven track record in developing robust alpha models. You'll collaborate with a dynamic team to enhance the firm's trading strategies and optimize execution approaches. If you are passionate about leveraging statistical methods and machine learning to drive performance, this opportunity is perfect for you.

Qualifications

• 5+ years in Quantitative Finance with robust alpha model development experience.
• PhD or Master's in Statistics with strong statistical and machine learning knowledge.

Responsibilities

• Design and develop models for alpha generation and signal performance.
• Collaborate with team members and stakeholders on platform architecture.

Skills

Quantitative Finance

Alpha Modeling

Statistical Reasoning

Feature Engineering

Signal Performance Evaluation

Education

PhD in Statistics

Master's degree in Statistics

Tools

Python

KDB

Job description

Quantitative Researcher

The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis.

We are seeking an Alpha Researcher with experience in return / toxicity forecasting as it relates to market-making business offering pricing on larger blocks of equities either via outright risk pricing or other product structures.

Principal Responsibilities

1. Modelling: Design and develop models to assist in alpha generation. Areas include:
   • Automated evaluation of signal performance over time and feature engineering techniques to drive improvements.
   • Combination of multiple signals to produce a single usable alpha for different contexts and attribution of performance.
   • Robust estimation of key metrics such as signal correlations, decay, turnover and risk.
2. Rigorous Grounding: Given inherent complexity and high dimensionality, employ methods to avoid overfitting and poor OOS performance based on sound statistical reasoning.
3. Collaboration: Work with team members to decide the overall direction, design, and architecture of the platform, and collaborate with key stakeholders across the business.

Qualifications/Skills Required

1. Required Experience: 5+ years of experience in Quantitative Finance setting, with a proven track record of developing robust alpha models, preferably in an Equities context.
2. Education: PhD or Master's degree in Statistics, or a related field with an excellent understanding of the theory behind statistical and machine learning methods.
3. Technical Skills: Proficiency in Python and/or KDB, preferably both.

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.