- 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.
Highest-signal resume keywords
- Data Analytics
- Quantitative Modeling
- Performance Attribution
- Python Programming
- Investment Data Management
ATS Optimization Keywords
Hard Skills
- Data Analytics
- Quantitative Development
- Performance Attribution
- Python
- R
- SQL
- Data Visualization
- Model Governance
- Backtesting
- Scenario Analysis
Soft Skills
- Strong Communication
- Collaboration
- Problem-Solving
- Intellectual Curiosity
- Initiative
Certifications & Qualifications
- Chartered Financial Analyst
- Financial Risk Manager
Industry Keywords
- Investment Management
- Financial Services
- Portfolio Analytics
- Risk Management
- Investment Consulting
- Multi-Manager Investing
- Investment Operations
Tools & Technologies
- Amazon Web Services
- Microsoft Azure
- Bloomberg
- FactSet
- Morningstar
- EVestment
- Aladdin
- Business Intelligence Tools
- Big Data Technologies
- Database Platforms
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Data Analytics & Reporting Analyst – Data Engineering Team employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
