Data Scientist; VP

About this role

This role sits within the Private Markets Data Engineering (PMDE) team within Preqin, a part of Black Rock. Preqin is at the heart of how we are revolutionizing private markets data and technology for clients globally, complementing our existing Aladdin technology platform to deliver investment solutions for the whole portfolio.

In this role, you will develop market-leading data products, methodologies, models and analytics in private markets data for Preqin’s client base of institutional investors, fund managers and service providers.

As a senior individual contributor and hands-on technical leader within a broader delivery team, you will work closely with business stakeholders to translate strategic objectives and user needs into data initiatives and technical solutions, operating without direct supervision and being accountable for technical outcomes.

Your work will position Black Rock as the preeminent private markets technology and data provider, strengthening our ability to serve clients’ whole portfolios across public and private markets by combining investment, technology, and data solutions in one platform.

This is a unique and exciting opportunity for someone who can innovate in the private markets data, algorithms and modelling space, has the technical know-how to explore the viability of new ideas, and has the communication skills to convey the benefits to the business and clients.

• You will work as a “full stack” data scientist, taking projects from problem formulation to production, independently, as part of a team, or as the team lead.
• Understand and translate business problems into smart, pragmatic, high-quality solutions that leverage quantitative, data-driven techniques.
• Define and run targeted analysis and experiments to reduce uncertainty before initiating long-term projects and critically evaluating the available options.
• Exemplify and demonstrate best-practice data science and machine learning across the business and ensure models are re-usable and continuously improved.
• Design and implement scalable, reliable data pipelines that ingest, process, and deliver high-quality data products to downstream applications.
• Enable in-production monitoring of data science and ML solutions.
• Design, guide and support data validation and quality assurance activities to assure and improve the robustness and quality of datasets.
• Author and maintain methodologies and client-facing documentation, and present results and recommendations clearly, succinctly, and honestly to a variety of audiences.
• Understand and maintain existing codebases and system architectures, as well as develop solutions from scratch.
• Collaborate with stakeholders, product owners, designers, analysts, engineers and other data scientists to design solutions which make sure our clients’ needs are met and the best technical solutions are adopted.

• Strong background in data science, computer science, applied mathematics, statistics, or another quantitative field.
• Strong programming skills in Python.
• Experience using foundational Python data science libraries (e.g. pandas, numpy, scikit-learn, ...).
• Experience with SQL and working with databases like Postgres and Snowflake.
• Experience of working within cloud environments (Azure and AWS preferred).
• Comfortable with sourcing, cleaning, transforming, analysing and visualising data of wide range of types, volumes and quality.
• Confident with diverse techniques for testing code, data and systems.
• Track record of working as part of a data science or similar team and successfully delivering end-to-end analytics/ML/data science solutions in a commercial setting.
• A highly motivated, inquisitive, customer-centric collaborator, with a willingness to learn new technologies and ways of working, who demonstrates a “let’s do it” and “challenge accepted” attitude when faced with less well-known or challenging tasks.
• A data-driven approach to make development decisions based on robust analyses.
• Motivation to explore diverse and potentially unknown techniques; ability to propose creative, efficient, and effective solutions to new types of problems.
• Ability to…