Barings is seeking a Statistician to support the company's asset-based investment strategies, with an initial focus on residential mortgage assets, by conducting advanced statistical analysis and developing predictive models to inform investment decisions.
Requirements
- Expert proficiency in statistical analysis software and coding (e.g., R, SAS, Python, MATLAB).
- Strong knowledge of statistical modeling techniques such as regression analysis, time-series modeling, survival analysis, and machine learning.
- Proficiency in machine learning algorithms (e.g., random forests, gradient boosting machines, support vector machines, neural networks) and frameworks
- Experience with data manipulation and visualization tools (e.g., SQL, Tableau, R, Power BI).
- Strong problem-solving skills with the ability to design solutions for modeling complex issues, such as prepayment risk, credit risk, and liquidity risk, using both traditional statistical methods and machine learning techniques.
- Ability to analyze large, complex datasets and extract meaningful insights that drive strategic decisions.
- Strong attention to detail and a focus on data integrity.
Responsibilities
- Develop and implement statistical models to analyze trends, risks, and opportunities in residential mortgage investments.
- Design, manage and optimize large-scale datasets to ensure high-quality data availability for modeling, surveillance and analysis.
- Oversee the integration of data from various sources, ensuring data quality, accuracy, and consistency.
- Apply machine learning algorithms such as regression trees, random forests, support vector machines, and neural networks to enhance predictive capabilities.
- Conduct risk analysis and stress testing using both traditional and machine learning-based methods to evaluate portfolio resilience under various economic scenarios.
- Conduct deep learning and AI-based model experimentation to improve accuracy and scalability of mortgage performance forecasting as well as improve servicing oversight.
- Stay up-to-date with the latest developments in statistical methodologies, machine learning, artificial intelligence, and trends within the mortgage and investment sectors.
Other
- Master's or Ph.D. degree in Statistics, Mathematics, Engineering, Data Science, or a related field.
- 5+ years of experience in statistical modeling, data analysis, and/or quantitative finance within a financial field, with direct experience in residential mortgages or similar assets a plus.
- Ability to communicate complex statistical concepts in a clear and concise manner to non-technical stakeholders.
- Strong collaboration skills and the ability to work cross-functionally with internal teams, including risk, portfolio management, and capital markets.
- Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.
