Novarex Capital Partners
Data Analyst
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Company Description
Novarex Capital Partners specializes in identifying and introducing private market opportunities across loan notes, litigation finance, and private capital. The firm connects sophisticated investors with carefully selected, high-conviction deals designed to meet diverse investment goals. Novarex focuses on rigorous evaluation and structuring of opportunities to manage risk and deliver value. Team members collaborate closely with investors and partners, contributing to a dynamic, research-driven environment. Working at Novarex offers exposure to complex private market transactions and a culture centered on informed decision-making.
Role Description
The Data Analyst role at Novarex Capital Partners is a full-time, on-site position based in London. The Data Analyst will gather, clean, and analyze data related to private market opportunities, including loan notes, litigation finance, and private capital transactions. Day-to-day work includes:
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- Building and maintaining data models
- Preparing analytical reports
- Generating insights to support investment decision-making and risk assessment
- Creating dashboards and visualizations for internal stakeholders
- Collaborating with investment and operations teams
- Documenting methodologies and assumptions
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The role also involves contributing to continuous improvement of data processes, quality controls, and analytical tools used across the firm.
Qualifications
- Strong Analytical Skills and experience in Data Analytics to interpret complex financial and operational data
- Applied knowledge of Statistics for modeling, hypothesis testing, and performance analysis
- Proficiency in Data Modeling to design, implement, and maintain structured datasets and reporting frameworks
- Effective Communication skills to present findings clearly to technical and non-technical stakeholders
- Experience with data tools such as Excel, SQL, and at least one analytics or visualization platform (e.g., Python, R, Power BI, Tableau)
- Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Finance, or a related discipline
- Attention to detail, strong problem-solving abilities, and a proactive approach to improving data quality and processes
- Prior exposure to financial services, private markets, or investment analysis is beneficial but not required.
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