Job Description
GenPF seeks a Data Scientist with a Finance Background to join our team, bringing both technical expertise and financial acumen. You’ll work closely with our data engineering and product teams to create, optimize, and maintain analytical models that provide unique insights to portfolio managers. The ideal candidate will have strong data science and statistical analysis skills, coupled with an in-depth understanding of financial markets, investment management, and economic principles.
Key Responsibilities
- Data Modeling & Analysis: Develop and implement statistical models and machine learning algorithms that analyze historical and real-time financial data for risk assessment, portfolio optimization, and asset ranking.
- Feature Engineering: Design asset-specific features to enhance predictive performance and enable unique insights, factoring in economic indicators, market trends, and financial ratios.
- Data Insights: Transform raw data into actionable insights through advanced data analysis, visualization, and regular reporting, tailored to the needs of portfolio managers.
- Collaborative Development: Partner with data engineers to streamline data pipelines, ensuring the effective integration of data from diverse financial sources and reliable model outputs.
- Model Validation & Testing: Perform back-testing and validation of models, using financial data and metrics to ensure reliability, accuracy, and robustness across different market conditions.
- Research & Strategy: Conduct research into market behavior, economic trends, and innovative data science techniques to enhance existing models and identify new analytical opportunities.
- Documentation & Communication: Document models, assumptions, and insights clearly for cross-functional teams, providing transparency and clarity to technical and non-technical stakeholders.
Required Qualifications
- Educational Background: Degree in Finance, Economics, Data Science, Statistics, Computer Science, or a related field. A Master’s or PhD is preferred.
- Experience: 3+ years in data science with a focus on finance, investment, or asset management.
- Proficiency in Python or R for data analysis and machine learning.
- Experience with SQL for data extraction and manipulation.
- Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) and financial data processing libraries (e.g., Pandas, NumPy).
- Knowledge of cloud platforms (AWS, Azure) and financial APIs.
- Finance Knowledge: Strong understanding of financial markets, portfolio management, risk assessment, and economic indicators.
- Analytical Thinking: Ability to translate complex data into actionable insights and provide data-driven recommendations for portfolio managers.
- Collaboration: Excellent communication and teamwork skills, with experience working cross-functionally to meet project goals and deadlines.
Preferred Qualifications
- Advanced Financial Knowledge: Understanding of quantitative finance models, financial time series analysis, and experience with econometric techniques.
- Familiarity with Financial Data Sources: Experience with financial databases like Bloomberg, FactSet, or Morningstar.
- Portfolio Optimization: Knowledge of portfolio optimization techniques, risk assessment metrics, and economic modeling approaches.
Benefits
- Competitive Salary & Equity: Opportunities for growth within a dynamic AI/ML company.
- Remote/Hybrid Flexibility: Work from home or an environment that best suits you.
- Professional Development: Access to resources, mentorship, and learning opportunities in advanced AI, machine learning, and finance.
- Work-Life Balance: Flexible working environment that values balance and wellness.
Join GenPF.ai
At GenPF, you’ll be part of a forward-thinking team dedicated to redefining portfolio management with AI and data science. If you’re passionate about finance and want to make an impact through data, we’d love to hear from you!
