Raman Asankomah
London,UK
Summary
Client-facing financial services professional at Nasdaq with experience supporting institutional clients across EMEA. Exposure to index-adjacent data, benchmarking use cases, and market data platforms, with a strong track record of delivering client demos, resolving production issues, and collaborating closely with index and product teams while actively developing deeper expertise in indices and ETFs.
Overview
4
4
years of professional experience
3
3
years of post-secondary education
1
1
Certification
Work history
Investment Data Analyst
Nasdaq
London, UK
09.2024 - 01.2026
- Supported institutional clients across EMEA as a primary client-facing analyst, leveraging expert knowledge of the eVestment platform to assist 200+ Asset Managers and 50+ Hedge Funds with eVestment queries, Universe Classification, Benchmarking, and Peer Analysis.
- Delivered frequent client engagements including live demos and platform walkthroughs, and acted as a technical liaison between clients and internal Index, Product, and Sales teams to resolve complex queries, escalations, and production issues.
- Resolved approximately 20 client cases per week via Salesforce, applying strong analytical problem-solving, prioritisation, and communication skills to ensure timely issue resolution and an enhanced client experience.
- Developed and Implemented SQL code to track the migration of 20,000+ investment products during Mercer's GIMD shutdown, ensuring seamless transition and data integrity.
Data Analyst
M&G Investments
London, UK
10.2022 - 05.2024
- Developed v.1 of a Python-based Fixed Income and Equities analytical tool for assessment and decarbonisation of M&G's Investment portfolio's emissions in light of 2030 Net Zero roadmap.
- Enabled expedient identification of business risk and opportunities and associated potential solutions by developing Power BI dashboards for communication of financial and non-financial KPIs to senior stakeholders across divisions such as IT, Risk, and Regulatory Reporting. Demonstrated strong stakeholder management skills throughout the project lifecycle.
- Performed, documented, and reported third-party SSI data reconciliation of over £250bn worth of assets across several asset classes including AAO, Equities, FI, Bonds, Mutual Funds, and Cash using data sourced from Aladdin and Bloomberg for live pricing data. Pivot tables were used for in-depth analysis.
Data Analyst
Grayce
London, UK
09.2022 - 05.2024
- Utilised python to clean datasets and libraries such as Matplotlib and Pandas and NumPy to extracted actionable intelligence to answer key business questions as part of a project.
- Lead a team of 3 in a SQL group project where data was queried and collected from relational databases using a variety combination of aggregate and scalar functions.
Space Clusters Research Intern
City University of London
London, UK
08.2021 - 10.2021
- Explored and analysed 6 different space clusters in UK. Provided regular progress updates to the managing director.
- Utilized creativity to develop a business case for London Space Innovation Centre.
Education
BEng (Hons) - Aeronautical Engineering
City, University of London
London, UK 09.2019 - 06.2022
Skills
- Institutional Client Services & Stakeholder Management
- Proficient in MS Office (Word, PowerPoint, Excel, Macros, Pivot Tables)
- Cross-Functional Collaboration
- Salesforce Case Management
- Intermediate in Power BI
- Beginner in SQL
Websites
Affiliations
- Financial markets
- Reading (currently reading ‘A mind for numbers’ by Barbara Oakley)
- Fitness
- Pianist
Accomplishments
Awarded by mathematics professor for displaying a clear and logical working out throughout exam. Score obtained: 100%.
Certification
- CompTIA Cloud Essentials+ Certification
- AgilePM® Foundation
Timeline
Investment Data Analyst
Nasdaq
09.2024 - 01.2026
Data Analyst
M&G Investments
10.2022 - 05.2024
Data Analyst
Grayce
09.2022 - 05.2024
Space Clusters Research Intern
City University of London
08.2021 - 10.2021
BEng (Hons) - Aeronautical Engineering
City, University of London
09.2019 - 06.2022