Data Analytics & Reporting Analyst – Data Engineering Team

Jobtailor

Greater London

Hybrid

GBP 85,000 - 125,000

Full time

5 days ago

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Job summary

Jobtailor in London is seeking a data analytics professional to translate investment analytics needs into quantitative models, reporting, and dashboards. You will collaborate across global teams to maintain data platforms and deliver performance attribution across portfolios.

The role emphasizes Python, R, SQL, cloud data platforms, and strong communication. Expect exposure to AI/ML methods and cross-functional project planning. Hybrid work in a global team is offered.

Qualifications

Experience in data analytics, quantitative development or reporting within investment management or financial services.
Strong knowledge of investment data, portfolio analytics, performance attribution and risk.
Advanced degree in a quantitative field is preferred.
Proficiency in Python, R and SQL; experience with databases and cloud platforms.
Excellent communication and ability to explain complex concepts to diverse audiences.
Ability to collaborate across functions and locations; manage multiple priorities.

Responsibilities

Partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions to understand analytical needs.
Translate business needs into data solutions, quantitative models and reporting.
Participate in research discussions and project planning.
Source, validate and maintain investment data across platforms and databases.
Build, maintain and enhance quantitative models, analytical tools and performance attribution systems.
Support backtesting, scenario analysis and factor-based research.
Automate analytical and reporting workflows for performance reports, risk metrics and strategy dashboards.
Design and maintain dashboards and data visualisations.
Apply model governance practices, including documentation, version control and validation protocols.
Evaluate new technologies and methodologies, including artificial intelligence and machine learning.
Support product development and market research through data analysis and quantitative modelling.
Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements and platform development.
Coordinate with colleagues across Boston, New York, London and India.

Skills

Data Analytics

Quantitative Modeling

Performance Attribution

Python Programming

SQL

Data Visualization

Model Governance

Backtesting

Scenario Analysis

Education

Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field

Tools

Amazon Web Services

Microsoft Azure

Bloomberg

FactSet

Morningstar

EVestment

Aladdin

Business Intelligence Tools

Big Data Technologies

Database Platforms

Job description

Partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs
Translate business needs into data solutions, quantitative models and reporting
Participate in research discussions and project planning
Source, validate and maintain investment data across platforms and databases
Build, maintain and enhance quantitative models, analytical tools and performance attribution systems
Support backtesting, scenario analysis and factor-based research
Automate analytical and reporting workflows for performance reports, risk metrics and strategy dashboards
Design and maintain dashboards and data visualisations
Apply model governance practices, including documentation, version control and validation protocols
Evaluate new technologies and methodologies, including artificial intelligence and machine learning
Support product development and market research through data analysis and quantitative modelling
Collaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements and platform development
Coordinate with colleagues across Boston, New York, London and India

Requirements

Prior experience in data analytics, quantitative development or reporting within investment management or financial services
Strong knowledge of investment data, portfolio analytics, performance attribution and risk
Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field
Advanced proficiency in Python, R and Structured Query Language (SQL)
Experience using database platforms
Strong communication skills and ability to explain complex concepts to technical and non-technical audiences
Ability to collaborate across functions and locations
Ability to manage multiple priorities and deliver high-quality work to deadlines
Initiative, intellectual curiosity and practical problem-solving mindset
Professional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred
Experience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred
Experience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred
Background in investment consulting, multi-manager investing or investment operations is preferred

Core Competencies

Demonstrates expertise in data analytics and quantitative modeling within investment management, utilizing advanced programming skills in Python, R, and SQL to develop data solutions and performance attribution systems. Strong ability to collaborate across teams and communicate complex concepts effectively.

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