Statistician, Asset Backed Finance - Associate Director

Requirements

• Master's degree in Statistics, Mathematics, Engineering, Data Science, or a related field (PhD a plus)
• 4-8 years of experience in statistical modeling, data analysis, or quantitative finance, ideally within a financial services environment
• Proficiency in statistical programming languages (e.g., Python, R, SAS, MATLAB)
• Strong knowledge of statistical modeling techniques (e.g., regression, time-series analysis, survival analysis, machine learning methods)
• Experience working with data manipulation and visualization tools (e.g., SQL, Tableau, Power BI)
• Ability to analyze large datasets and extract meaningful insights to support investment decisions
• Strong problem-solving skills with the ability to analyze complex issues such as prepayment, credit, and liquidity risk
• Effective communication skills, with the ability to present technical findings to non-technical audiences
• Strong attention to detail and focus on data quality
• Ability to manage multiple priorities in a fast-paced environment
• #LI-CM2
• Requisite Skills
• Asset Backed Financing, Data Analysis, Data Science, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), SAS Language, Statistical Models, Statistics
• Additional Skills
• 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

Benefits

Additional Information

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: Statistician Corporate Title: Associate Director Department : Asset Backed Finance (Residential Mortgages) Location: Charlotte, NC Barings ABF group specializes in a range of public and private asset-based investments, primarily residential mortgage related. Our team combines deep industry expertise with advanced analytics to support investment decision-making and create value for our clients. We are seeking a hands-on Statistician to join our analytics and modeling team, supporting asset-based investment strategies with a focus on residential mortgage assets. This role will focus on building, testing, and refining statistical and machine learning models, working closely with senior team members to generate insights from large and complex datasets. Primary Responsibilities Work with large datasets (e.g., mortgage performance, loan origination data, macroeconomic variables) to support modeling and analysis Execute data cleaning, transformation, and validation to ensure high-quality inputs for modeling Apply statistical and machine learning techniques (e.g., regression models, tree-based methods) to support forecasting and risk analysis Support model development, back-testing, and performance monitoring under guidance from senior team members Assist in stress testing and scenario analysis to evaluate portfolio performance Build and maintain statistical models to analyze trends, risks, and performance in residential mortgage investments Collaborate with portfolio managers, analysts, and risk teams to deliver data-driven insights Translate model and analytical outputs into clear, concise summaries for internal stakeholders Contribute to ongoing enhancement of modeling processes, tools, and datasets

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