Quantitative Researcher - Execution Services

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

Job summary

An established industry player is seeking a Quantitative Researcher to enhance their trading and execution strategies. This role involves designing robust models for alpha generation and collaborating with a talented team to optimize internal liquidity solutions. Candidates should have a strong background in quantitative finance, particularly in equities, and possess advanced skills in statistical methods and programming. Join a dynamic environment where your expertise will directly impact trading performance and decision-making. This is a fantastic opportunity for those looking to make a significant contribution in a fast-paced financial setting.

Qualifications

• 5+ years in Quantitative Finance with a focus on equities.
• Strong understanding of statistical and machine learning methods.

Responsibilities

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

Skills

Quantitative Finance

Alpha Models Development

Statistical Methods

Machine Learning

Python

KDB

Education

PhD in Statistics

Master's in Statistics

Job description

Quantitative Researcher - Execution Services

3 weeks ago Be among the first 25 applicants

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

• 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 useable alpha for different contexts and attribution of performance.
• Robust estimation of key metrics such as signal correlations, decay, turnover and risk.
• Rigorous Grounding: Given inherent complexity and high dimensionality, employ methods to avoid overfitting and poor OOS performance based on sound statistical reasoning.
• 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

• 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.
• 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.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Investment Management

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