Senior Statistician/Data Scientist (Senior Director or Director)

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: Senior Statistician/Data Scientist (Senior Director or Director)

Department: Residential - ABF

Location: Charlotte, NC

Barings is a leading global financial services firm dedicated to meeting the evolving investment and capital needs of our clients and customers. Through active asset management and direct origination, we provide innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe and Asia Pacific.

Job Summary

Barings Resi – ABF group specializes in residential mortgage related investments. Our team combines deep industry expertise with advanced analytics to make informed investment decisions and create value for our clients. We are seeking a talented and experienced Senior Statistician to join our analytics and modeling team to support the company's mortgage investment strategies. The Senior Statistician will be responsible for leading advanced statistical analysis, developing and implementing predictive models, and supporting decision-making in the mortgage investment space. This role requires expertise in statistical modeling, data analysis, and machine learning, with the ability to work closely with cross-functional teams to extract insights from complex consumer and mortgage-related data. The position will reside in our Charlotte, NC office.

Primary Responsibilities

• Lead the development and implementation of statistical models to analyze trends, risks, and opportunities in residential mortgage investments.
• Build, test, tune and validate predictive models (e.g., prepayment, default, loss given default, etc.) using advanced statistical, machine learning, and AI techniques to forecast key mortgage performance metrics.
• Design, manage and optimize large-scale datasets, (e.g., historical mortgage data, borrower behavior, housing market data, interest rate changes, and other macroeconomic factors) to ensure high-quality data availability for modeling, surveillance and analysis.
• Apply machine learning algorithms such as regression trees, random forests, support vector machines, and neural networks to enhance predictive capabilities.
• Conduct deep learning and AI-based model experimentation to improve accuracy and scalability of mortgage performance forecasting as well as improve servicing oversight.
• Collaborate with internal teams (e.g., portfolio managers, capital market analysts, risk managers, and structurers) to interpret model results and provide actionable insights for investment decision-making.
• Conduct risk analysis and stress testing using both traditional and machine learning-based methods to evaluate portfolio resilience under various economic scenarios.
• Manage and oversee the integration of data from various sources, ensuring data quality, accuracy, and consistency.
• Communicate complex statistical and machine learning concepts to non-technical stakeholders.
• Stay up-to-date with the latest developments in statistical methodologies, machine learning, artificial intelligence, and trends within the mortgage and investment sectors.
• Mentor other statisticians and data analysts, helping to develop their skills and expertise.

Qualifications

• Master's or Ph.D. degree in Statistics, Mathematics, Engineering, Data Science, or a related field.
• 15+ years of experience in US mortgage sector and deep understanding of various product types, such as conforming, non-agency, jumbo, second liens, non-QM, etc.
• 15+ years of experience in statistical modeling, data analysis, and/or quantitative finance within residential mortgage-backed securities (RMBS), mortgage investments, or a related financial field.
• 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).
• Experience implementing artificial intelligence methods in forecasting and decision-making processes.
• Proven ability to analyze large, complex datasets and extract meaningful insights that drive strategic decisions.
• 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 communicate complex statistical and machine learning concepts and results 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.
• Strong attention to detail and a focus on data integrity.
• Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.

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.

Barings offers a comprehensive benefits package including:

CORE BENEFITS & WELLNESS

• Medical (including Virtual Care), Prescription, Dental, and Vision Coverage
• Fitness Center Reimbursement Program (Including Online Memberships)
• Employee Assistance Program (EAP)
• Fertility Benefits

FINANCIAL WELL-BEING

• Highly competitive 401(k) Plan with Company Match
• Health Savings Account (HSA) with Company Contributions
• Flexible Spending Accounts (FSA) - Health Care & Dependent Care
• Retirement Health Reimbursement Account

LIFE INSURANCE

• Basic and Supplemental Life Insurance
• Spouse and Child Life Insurance

TIME OFF, DISABILITY AND LEAVE OF ABSENCE

• Paid Vacation, Sick Days and Annual Holidays
• Paid Leave of Absences (Maternity Leave, Parental Leave, Caregiver Leave, Bereavement Time)
• Short and Long Term Disability Plans
• Paid Volunteer Time

 OTHER BENEFITS

• Education Assistance Program
• Charitable Matching Gifts Program
• Commuter Reimbursement Program
• Adoption and Surrogacy Reimbursement Program