
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading data analytics firm based in London is seeking a Quantitative Product Specialist. This role involves designing quantitative research and producing high-quality research publications for institutional investors. The ideal candidate should have a Master’s or PhD in a relevant field, 3–5 years of experience in financial analytics, and proficiency in R or Python. This position offers a competitive salary and a collaborative work environment focused on influencing private market analytics.
Job Title: Quantitative Product Specialist - Private Market Data
Location: London
Type: Full-time
Scientific Infra & Private Assets is a global leader in data and analytics for private infrastructure and private equity markets. We transform academic excellence into investment-grade indices, tools, and insights that bring transparency and scientific rigor to historically opaque markets. Our indices – such as infraMetrics® and privateMetrics® – serve investors managing hundreds of billions in AUM and are ESMA-registered.
We are seeking aProduct Specialistwith strong quantitative skills and professional writing experience to contribute to thought leadership and applied research in infrastructure and private assets. This role is ideal for candidates with a passion for private markets, financial economics, and data analytics. The successful candidate will develop high-quality publications, lead analytical research, and present findings to global institutional investors and industry forums.
Scientific Infra & Private Assets stands at the forefront of innovation in private market analytics, offering sophisticated investors unparalleled insights into the valuation and risks associated with private equity and infrastructure investments. Emerging from the research endeavours of the EDHEC Infrastructure & Private Assets Research Institute, the company has transformed academic findings into practical tools that address the critical data deficiencies in private markets.
Central to their offerings are infraMetrics® and privateMetrics®, two groundbreaking products that provide comprehensive, model-driven analytics. infraMetrics® delivers asset-level metrics for private infrastructure investments across more than 20 markets, categorized by sector, business risk, and corporate structure. This tool enables investors to access robust market indices and benchmarks, facilitating informed decision-making and precise performance assessments.
Similarly, privateMetrics® offers detailed analytics for private equity investments, encompassing over 100 markets. It classifies data by activity, customer model, revenue model, lifecycle, and value chain, providing investors with a nuanced understanding of market dynamics. This depth of analysis empowers investors to identify undervalued assets and optimize their investment strategies.
A standout feature of Scientific Infra & Private Assets is their commitment to data integrity and transparency. By leveraging advanced financial modelling, statistics, and machine learning, they produce scientific results that are indispensable for making informed investment decisions. Their indices, such as the infra300® and infra100® series, are registered with the European Securities and Markets Authority (ESMA), underscoring their adherence to stringent regulatory standards.
In an industry often characterized by opaque data and limited transparency, Scientific Infra & Private Assets distinguishes itself by providing reliable, up-to-date, and customizable analytics. Their innovative approach not only bridges the gap between academic research and market application but also sets a new standard for data-driven decision-making in private markets. For investors seeking to navigate the complexities of private equity and infrastructure investments, the tools and insights offered by Scientific Infra & Private Assets are invaluable resources.
The salary will be determined according to the candidate's qualifications and experience.
To apply, please send your CV and a cover letter ( pdf format ) & mention where you found the ad.
Please note : Only shortlisted candidates will be contacted. If you do not hear from us within 21 days, please assume your application has not been successful on this occasion.