Data Analytics Quant Associate

A leading global alternative asset manager | Insurance-Linked Data Analytics & Quant | London | Associate

Role Overview

We have partnered with a leading global alternative asset manager to hire a Data Analytics Quant Associate for the data analytics function within its European insurance investment platform, based in London. The role sits inside a high output analytics team that supports portfolio management, balance sheet management and private assets teams across the platform`s insurance business, and reports directly into the team`s head.

The platform has been through a period of rapid growth, with its European insurance assets under management roughly doubling in scale over the past year following a major acquisition, and hiring across the quant and analytics function is a direct result of that step change.

The Role

This is a hands on, generalist quant role rather than a narrow specialist seat. The team is best described as production focused: instead of one long term strategic project running over months, this person will typically be juggling three or four shorter dated stints at any one time, spanning risk analytics, trading system support and reporting, and would suit someone who enjoys variety and fast turnaround over deep, single topic specialisation.

Key Responsibilities

• Build, own and maintain production grade data pipelines and analytics in Python, with a strong focus on data quality, reconciliation and controls
• Support a live risk engine migration, understanding new risk metrics and helping validate and debug the transition
• Help scale a growing fixed income trading analytics system currently processing around 100,000 instruments a day
• Drive the automation of legacy Excel based processes into scalable Python workflows
• Provide cross functional quantitative support across asset liability management, balance sheet management and private assets teams
• Partner closely with a large and growing offshore analytics team, helping define standards and scale delivery
• Respond to a broad and constantly evolving set of analytical requests from multiple stakeholders at once

Requirements

• Strong quant background from banking, asset management or a comparable quantitative environment
• Excellent Python skills, including experience building and maintaining data pipelines and production analytics
• A genuine generalist mindset, comfortable moving between several different problems in the same day or week
• Strong communication skills and the confidence to work directly with senior stakeholders across several teams
• Comfortable working with, and getting leverage from, a large distributed analytics team
• Understanding of fixed income principles and insurance-specific asset management (ALM, capital, Solvency II / Solvency UK Matching Adjustment) is a plus but not a prerequisite