Research Fellow

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Title: Research Fellow

Business Unit: Global Sovereign Debt & Currencies

Location: Boston

Barings is a global investment manager sourcing differentiated opportunities and building long-term portfolios across public and private fixed income, real estate and specialist equity markets. With investment professionals based in North America, Europe and Asia Pacific, the firm, a subsidiary of MassMutual, aims to serve its clients, communities and employees, and is committed to sustainable practices and responsible investment. Learn more at www.barings.com.

Job Summary

The team is seeking a summer research fellow with a strong quantitative background to advance our capabilities in predicting FX markets using new models to extract signals and help forecasting. The role will explore models and techniques to improve the performance of the current currency forecast and integrate the predictions to better our investment decisions.

Primary Functions

• Analyze data and identify patterns that signal shifts in the yield curve.
• Design and implement models such as deep learning to understand and forecast the term structures for different countries.
• Analyze economic indicators and market data to forecast changes to the term structure.
• Measure and decompose performance of the new techniques against existing model.
• Prepare a comprehensive report detailing data processing, model design, evaluation results, and recommendations for improvement.
• Help develop visualizations to showcase forecast performance and trends.

Qualifications

• Hands-on experience with time series modeling, forecasting, and multivariate analysis.
• Hand-on experience with predictive financial models, such as Deep Learning (e.g., LSTM, CNN-LSTM, Transformer, GRUs).
• Proficiency in programming tools such as Python, C++, R or MATLAB. • Ph.D. degree (or in progress) in statistics, computer science, economics, finance, or a related field.
• Experience in managing and organizing complex data.
• Experience in developing interactive visualizations and applications.
• Strong problem-solving skills and ability to independently manage research projects.
• Ability to work independently and in collaboration with cross-functional teams.
• Excellent written and communication skills to present complex findings to the EM team and other non-technical audiences.

Process

• Only graduate applicants will be considered. Deadline for application is Friday, March 14, 2025. Shortlisted applicants will be contacted shortly after deadline and interviews will be held mid-March.
• Applicants should apply with their resumes and any relevant research publications.

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.