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 make informed investment decisions and create value for our clients. We are seeking a talented and proactive Analyst to join our quantitative analytics and modeling team.
Requirements
- Proficiency with Power BI or similar reporting software.
- Expertise in querying and manipulating data using SQL or similar language.
- Proficiency in Python, R and other programming languages is a plus.
Responsibilities
- Design and manage system for delivering regular and ad hoc reports on asset-based finance assets, leveraging Power BI or similar analytics platforms. Constantly improve and update the system over time.
- Analyze internal asset data, model results, external reports and economic data to understand risks and opportunities.
- Lead ad hoc analytical projects to obtain deep insights into the relationship between mortgage, economic and demographic data and performance outcomes for ABF collateral. Present findings clearly to both internal stakeholders and third-party investors.
- Review modeling and forecasting assumptions to ensure that they align with reality and Barings’ and investors’ risk appetite.
- Mentor other data analysts to expand the capabilities and expertise within the team.
Other
- Bachelor’s degree required; advanced degree is a plus.
- Educational background in a quantitative field (e.g., mathematics, statistics, engineering) strongly preferred.
- Minimum of five years of experience in a similar role in Asset-Based Finance or similar field in banking or finance.
- Excellent communication skills for presenting data-driven insights.
- Strong attention to detail.
