- Gather and preprocess large datasets from various sources
- Design, develop, and implement statistical models and machine learning algorithms
- Analyze and interpret complex data, and provide actionable insights
- Create dashboards to communicate findings and support decision-making processes.
- Collaborate with data engineers and IT teams to ensure data quality, integrity, and accessibility
- Communicate findings and present results to stakeholders
- Collaborate with data engineers and IT teams to ensure data quality, integrity, and accessibility
- Stay updated on the latest developments in quantitative finance, private equity markets, and AI technologies
What qualifications, skills and traits should you possess in this role
- An academic degree in fields such as Mathematics, Statistics, Computer Science, Engineering, Economics and Finance fields with experience in a data-driven professional setting
- Experience working with quantitative models, conducting model validation, and performing statistical analysis.
- Comfortable working with, and combining, disparate and diverse data sources
- A strong intuition for analytical methodologies and desire to solve novel technical challenges
- Proficiency in the following coding languages Python, SQL
- Positive work attitude, high energy candidates with drive and initiative
- Eagerness to learn the private equity investment process and willingness to learn other skillsets required for this role, as and when they are required
- Ability to work effectively with different stakeholders and demonstrate maturity and integrity to interact confidently with senior colleagues
