Quantitative Investment Analyst & Trade Execution

Black Swan Group; Greater London; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Benefits package

Discretionary performance bonus

Job summary

Black Swan Group in London (West End) is hiring a Front Office Quantitative Investment Analyst to support growth in assets under management. You will work with the Quantitative Investment team to construct investment solutions and model management, including quant trade execution.

Prerequisites include 2–4 years of Quantitative Investment Analyst experience, a mathematical degree, and advanced Python programming.

Qualifications

• 2–4 years of quantified investment experience.
• Advanced Python programming skills.
• Strong mathematical background with a degree in a relevant field.

Responsibilities

• Construct investment solutions and manage models for AUM growth.
• Perform quant trade execution in a cost-efficient manner.
• Conduct Morningstar analyses and stock/fund screening.
• Develop data analysis tools using Python.

Education

Mathematical Degree

Masters or PhD in Mathematics

Tools

Python coding

Quantitative analysis

Morningstar analysis

Job description

• Location ~ London (West End)
• Compensation ~ £60,000 to £75,000 Base Salary (GBP) + benefits + bonus (*Discretionary Fund Performance Bonus)
• Right to Work in the UK - NO SPONSORSHIP OFFERED – No PSV (Post Study Visas) & Dependant Visa will not be considered (time limited and 3rd party risk)
• WE ASK CANDIDATES TO RESPECT THIS REQUIREMENT

A growing Asset Management firm based in London is looking to hire into its Front Office Quantitative Investment Team to service growth in investment and assets under management.

• Reporting directly into the Quantitative CIO (Chief Investment Officer) and Head Quant PM.
• Quantitative Investment Analyst will work with the Quantitative Investment team to construct investment solutions and model management.
• The role will also entail Quant Trade Execution and is an “Analyst” (2-4 Years ONLY of experience) grade hire for the business.
• Products - Covering FX, Equites and Fixed Income Quant trade execution, reviewing systematic investments, and executing trades in the most cost effective and efficient manner.
• Conducting Morningstar analysis as part of a comprehensive Quant financial research approach, reviewing system, evaluation of stocks, mutual funds, and exchange-traded funds to determine their intrinsic value, risk levels, and market standing.
• Covering Stock evaluation, fund screening, and initial investment model construction, balancing and maintenance.
• PYTHON CODING – to build data analysis and quantitative investing tools. Please note a python test will be part of the interview process.

Prerequisite Required Experience - ~ Quantitative Investment Analyst & Trade Execution–Analyst (2-4 Years ONLY)

• Mathematical Degree – 2.1 and above from Russel Group University – OR Masters or PHD in Mathematics – this is prerequisite given mathematical and numerical aspects of the role.
• Advanced Python Programming Skills – direct competency in building quant models, pricing tools and quantitative execution.
• 2 to 4 years experience (MAX) Quantitative Investment Analyst experience – from Asset Manager / Investment Bank or Hedge Fund.
• THIS ROLE IS NOT SUITED FOR ANYONE WANTING TO BE A PM – this is Quantitative Investment Analyst role, and you will cover some execution.
• Please note no pathway to become a trader or PM in the first 4 years of this role– minimum criteria for the desk and wanted to set expectations.
• Working Model – in office, investment desk based and some scope for hybrid working.
• Business has (3 days in the office and 2 days work from home)
• GIVEN THIS IS FRONT OFFICE - post 1st 6mths – 5 days in the office, due to learning and getting up to speed)