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- Tasks: Lead data solution design and support business initiatives in investment management.
- Company: Join a leading Asset Management company focused on Private Markets.
- Benefits: Enjoy a competitive salary, bonus, and various corporate perks.
- Why this job: Be at the forefront of data innovation in a dynamic and impactful industry.
- Qualifications: Experience in asset management data analysis and strong communication skills required.
- Other info: Ideal for those passionate about data solutions and investment products.
The predicted salary is between 72000 - 108000 £ per year.
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 (Real Estate Equity / Private Credit) 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.
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 / Real Estate Equity.
- 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.
Contact Detail:
psd group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solutions Partner / Data Business Analyst - Investment Management (Private Markets)
✨Tip Number 1
Network with professionals in the asset management and private markets sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends and challenges in data solutions.
✨Tip Number 2
Familiarise yourself with the specific data tools and technologies used in investment management. Being well-versed in data analysis software and data governance frameworks will give you an edge when discussing your capabilities with hiring managers.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully designed data solutions in previous roles. Highlight your experience with data quality dimensions and how you've navigated data risk and governance issues.
✨Tip Number 4
Stay updated on ESG data concepts and their relevance in investment product designs. Understanding these aspects will not only enhance your knowledge but also demonstrate your commitment to current industry standards during interviews.
We think you need these skills to ace Data Solutions Partner / Data Business Analyst - Investment Management (Private Markets)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and solution design, particularly within Private Markets. Use specific examples that demonstrate your understanding of asset management data domains and your ability to communicate effectively with both business and technical stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with the job requirements, particularly your experience with data governance and risk considerations. Mention any familiarity with ESG data concepts and how they relate to investment product designs.
Showcase Your Communication Skills: Since excellent communication is crucial for this role, consider including a section in your application that highlights instances where you've successfully engaged with various stakeholders. This could be through projects or initiatives where you acted as a key point of contact.
Demonstrate Your Knowledge: Use your application to showcase your up-to-date understanding of Private Markets, especially Real Estate Equity and Private Credit. Mention any relevant certifications or training that support your expertise in asset management capabilities and data solutions.
How to prepare for a job interview at psd group
✨Know Your Data
Make sure you have a solid understanding of data domains and the specific asset classes relevant to the role, such as Private Credit and Real Estate Equity. Be prepared to discuss how these concepts apply to investment product designs.
✨Communicate Effectively
Since excellent communication skills are crucial for this position, practice articulating your thoughts clearly. Be ready to explain complex data solutions in simple terms, as you'll be engaging with both business and technical stakeholders.
✨Showcase Your Experience
Highlight your previous experience in asset management data analysis and solution design. Prepare examples that demonstrate your ability to create data flows, document data dictionaries, and manage data governance considerations.
✨Build Relationships
Emphasise your ability to build close working relationships with business customers. Discuss how you've successfully collaborated with teams in the past to support business-as-usual activities and change initiatives.
