At a Glance
- Tasks: Define and support private markets data requirements, collaborating with teams to ensure data quality.
- Company: Join a leading firm in London focused on data transformation and innovation.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Other info: Dynamic role with excellent networking opportunities and career advancement.
- Why this job: Make an impact in the finance sector by working with cutting-edge data solutions.
- Qualifications: Experience in private markets and strong SQL skills are essential.
Location: London - 3 Days a week onsite
Salary/Rate: £700 - £800 Inside IR35
Start Date: January 2027
Job Type: Initial 6-12 Month Contract
Company Introduction
Our client is looking for an experienced Private Markets Data SME to join a high-profile data-focused transformation programme in London. This is an excellent opportunity for a data specialist with strong private markets knowledge to work closely with senior stakeholders, data engineering teams, platform vendors and leading data providers.
Job Responsibilities/Objectives
- You will be responsible for defining, challenging and supporting the delivery of private markets data requirements, working across business and technical teams to ensure data is fit for purpose.
- Review, challenge and elaborate data and reporting requirements, translating business needs into clear and actionable data requirements.
- Manage and support data integrations from multiple sources, working with data engineering teams to ensure interfaces and data flows are clearly understood.
- Provide detailed guidance on data definitions, sample data, data structures and SQL queries, helping technical teams investigate and resolve data-related issues.
- Work closely with data platform vendors and external data providers, facilitating discussions and resolving complex data queries and integration challenges.
- Engage with senior stakeholders and business teams, ensuring requirements, data definitions and reporting needs are clearly understood and effectively delivered.
- Support the development and validation of data models and entity relationship diagrams (ERDs) to ensure data is structured appropriately for business and reporting requirements.
Required Skills/Experience
- The ideal candidate will have the following:
- Deep experience within private markets, with strong knowledge of private markets data, reporting requirements and investment data.
- Strong data analysis and data modelling skills, including experience creating or working with entity relationship diagrams (ERDs).
- Strong SQL skills, with the ability to query, explore, validate and investigate complex datasets.
- Proven experience working with data integrations, data interfaces and multiple data sources, ideally within an investment or financial services environment.
- Excellent senior stakeholder management and communication skills, with the ability to work confidently across business, technical and vendor teams.
- The ability to translate complex data concepts into clear business language and communicate effectively with both technical and non-technical audiences.
Desirable Skills/Experience
- Although not essential, the following skills are desired by the client:
- Experience across Private Equity, Private Credit, Private Debt, Real Assets, Infrastructure or Real Estate data.
- Experience working with private markets data providers, investment platforms or third-party data vendors.
- Knowledge of fund, portfolio, investment, investor, performance or transaction data and associated reporting requirements.
- Experience supporting data transformation, migration, integration or platform implementation programmes within asset management or financial services.
Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Private Markets Data SME employer: Squareone
At Square One, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys flexible hybrid working arrangements, competitive compensation, and ample opportunities for professional growth in the rapidly evolving field of finance transformation. Join us to make a meaningful impact while advancing your career in a supportive and diverse environment.
StudySmarter Expert Advice🤫
We think this is how you could land Private Markets Data SME
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Squareone before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Squareone.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Squareone.
We think you need these skills to ace Private Markets Data SME
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Squareone, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Squareone, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Squareone’s attention and show the tangible impact of your work.
How to prepare for a job interview at Squareone
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Squareone.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Squareone.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Squareone.
