Senior Portfolio Associate
Company | Barings |
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Location | Boston, MA, USA, Charlotte, NC, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Bachelor’s degree (business and/or data science/analytics related) with 2 – 4 years of experience in data management within a financial context; solid financial acumen.
- Willingness to learn and absorb complex lending structures and legal documents and translate economic and risk factors to financial models and tools used to manage the overall portfolio.
- Demonstrated interest in and experience with operational enablement through technology.
- Strong analytical and problem-solving skills, attention to detail, well-organized, self-starter, and able to multitask and deliver work products on short timeframes.
- Clear, confident communication with stakeholders.
- Strong knowledge of and experience with analytic tools and programming languages (Python/R, and SQL with VBA a plus).
- Excellent command and proficiency of MS excel.
- Control focused and attentive to detail.
Responsibilities
- Perform routine data cleansing/pre-processing and automate data transformation processes.
- Critically evaluate information provided from multiple sources – both internal and external – and reconcile discrepancies to ensure sound data quality.
- Support with maintenance of BPF’s proprietary portfolio monitoring database and assess data quality & integrity on a continuous basis.
- Produce (and automate where possible) regularly scheduled and ad-hoc management reports to enable decision making for both internal and external stakeholders.
- Assess new investor reporting requirements and support ongoing delivery.
- Participate in technology/automation initiatives to drive streamlined integration with internal partners, borrowers, investors, and third-party vendors.
- Identify, analyze, and interpret financial data and uncover trends within large/complex data sets.
- Identify various process improvement solutions and support with development of predictive analytic capabilities.
Preferred Qualifications
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No preferred qualifications provided.