Sud Recruiting · 1 week ago
Data Scientist - AI and Quantitative Finance
Sud Recruiting is a leading global asset management firm, and they are seeking a Senior Associate in Portfolio Management with expertise in AI and Quantitative Finance. The role involves developing and deploying AI/ML models, conducting quantitative financial research, and transforming private market data into predictive insights.
Responsibilities
AI/ML Model Development : Design and validate Machine Learning , Deep Learning , and Natural Language Processing (NLP) models for use in portfolio optimization , risk analytics , performance attribution , and capital allocation
Data Engineering : Build scalable data pipelines using Python , SQL (MySQL) , and R . Perform feature engineering , data normalization , and PDF parsing of private equity fund reports and financial statements
Model Deployment & MLOps : Collaborate with engineering teams to deploy models using Kubeflow , AWS SageMaker , or Azure ML , ensuring robust model governance , version control , and production readiness
Quantitative Research & Backtesting : Conduct factor analysis , scenario modeling , and backtesting to evaluate model performance across diverse asset classes , including private equity , real assets , and credit strategies
Cross-Team Collaboration : Partner with Data Science , Investment Research , and Portfolio Strategy teams to align AI solutions with client mandates , investment policy statements , and risk-adjusted return objectives
Qualification
Required
Bachelor's, Master's, or Ph.D degree in Computer Science, Machine Learning, Mathematics, Statistics, Econometrics, or related quantitative disciplines
6+ years of experience in quantitative finance, AI/ML model development, or financial engineering within the financial and banking sector
Deep expertise in Private Equity, secondaries, and alternative investments, with strong knowledge of fund structures, cash flow modeling, and valuation techniques
Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), SQL, and AI/ML lifecycle platforms
Familiarity with financial databases, performance metrics (IRR, TVPI, DPI), and risk modeling frameworks (VaR, stress testing)
Strong understanding of data governance, data quality, and security protocols in regulated financial environments
Excellent communication skills to present complex technical concepts to investment professionals, portfolio managers, and executive stakeholders
Company
Sud Recruiting
SUD Recruiting is a minority and women owned boutique recruiting agency that provides personalized recruitment solutions for all hiring needs in Data Science, Analytics and Strategy.
Funding
Current Stage
Early StageCompany data provided by crunchbase