Perform regular and ad-hoc scenario analysis of private markets data
Develop, maintain and enhance of proprietary private markets quantitative models
Preparation of submissions and presentations for firm-wide management and committees.
Operation and enhancement of firm-wide private markets models and systems.
Produce risk reporting and analytical insights for internal and external stakeholders.
Contribute original ideas to improve risk processes, methodologies, and decision support frameworks
Requirements
Advanced degree in Mathematics, Physics, Quantitative Finance, or similar disciplines
1-3 years of experience in risk management within public or private markets
Proven ability to generate original ideas and develop new models or processes
Deep interest in quantitative analysis and strong affinity for working with numbers
Commitment to quality, accuracy and error-free execution
Curiosity about international financial markets and industry mechanisms
Prior experience in computer programming (Python / SQL) and Excel is considered an advantage
Excellent written and verbal communication skills in English
Professional qualifications (e.g., CFA, FRM) are advantageous but not required.
Tech Stack
Python
SQL
Benefits
Competitive compensation with performance-based bonuses under competitive compensation along with daily lunch allowance
Global professional environment with international exposure, collaborative culture, and opportunities to learn the business from industry leaders and seasoned professionals
Premium facilities including state-of-the-art building, diverse on-site dining options, and complimentary gym access with fitness classes
Comprehensive career development through challenging opportunities, hands-on training, dedicated mentorship programs, and our PG Academy learning platform for continuous growth
Community engagement through office events, team activities, and volunteer opportunities to connect with local communities
Sabbatical program
one month off after every five years of service to recharge and explore