Data Business Analyst – Private Credit / Private Debt (Investment Management)

Data Business Analyst – Private Credit / Private Debt (Investment Management) 12 Month Contract Our client is a leading Asset Management company and has an exciting opportunity for a Data Solutions Partner to support the Private Markets business on behalf of the Chief Data Office. The successful candidate will play a key role in Data solution design activities, ensuring that Data is considered as a key enabler at the very heart of any solution designs and operating models created. The role will involve leading engagements with and acting as the key point of contact for business customers both to support BAU and change initiatives. This will include building close working relationships and a deep understanding of the business activities, business priorities and data sets they consume and create. You will work with and support the business to adopt strategic data capabilities, comply with data policies and deliver value through Data Solutions. The ideal candidate will have an up-to-date understanding of relevant Private Markets (Private Credit / Private Debt) asset classes and investment products and a strong knowledge of asset management capabilities, data domains, data models, familiarity with the vendor / service provider landscape within the industry, ESG data concepts and their application in investment product designs. Candidates with strong knowledge and experience of Fixed Income rather than Private Credit / Debt are also of interest. Experience and Skill Required: • Excellent communication skills (verbal / written) with a range of stakeholders from Business to Tech • Significant Asset Management Data Analysis / Solution Design experience – preferable within Private Credit / Debt or Fixed Income • Extensive knowledge of Asset Management Data Domains and relationships (e.g. Security and associated entities e.g. Issuers / Account / Product / Client / Trades / Orders / Transactions / Holdings) • Working with Data Suppliers / Outsourcers • Understanding of Data Risk and Governance considerations • Creating Data Source (Target Mappings) • Creating and presenting Data Solution Designs • Creating Data Flows including Data Domains • Documenting Data Dictionaries • UAT on Data Deliverables • Designing data solutions – including data architecture, flows, controls and services • Knowledge of Data Quality dimensions