Work directly with clients across a wide range of investment transactions, including performing asset‑backed loan portfolios, real estate financing, and specialty financing mandates.
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Deal Analysis & Onboarding:
Review and interpret modeling inputs from deal documents such as information memorandums, servicer reports, facility agreements, and other legal documentation to support accurate onboarding of deals onto Oxane’s technology platform.
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Data Preparation & ETL Execution:
Build comprehensive working files in Excel, transform raw data, and load it into databases using standardized ETL processes to ensure clean and structured data flow.
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SQL‑Based Data Querying:
Use SQL to query datasets and create database views that support report development and implementation.
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Reporting Configuration (JavaScript):
Configure report components by working with facts, dimensions, and configurable parameters, leveraging JavaScript for dynamic reporting elements.
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Portfolio Analytics & Client Support:
Support clients with ad‑hoc analytics, portfolio monitoring, surveillance activities, and reporting requirements across the asset lifecycle.
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Business Analysis for Platform Enhancements:
Act as a Business Analyst for platform features—capturing client requests, assessing change requirements, resolving issues, and collaborating closely with the product development team.
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Extended Asset Management Support:
Function as an extended part of the client’s asset management team, contributing to asset management reporting, financial due diligence, post‑deal performance analysis, and business planning.
Requirements
Required Experience & Skill Set
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Educational Qualifications:
B.E./B.Tech in Computer Science or Information Technology along with an MBA/PGDM in Finance is mandatory. Strong inclination toward engineering and technology‑driven solutions is highly preferred.
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Financial & Technical Expertise:
Strong understanding of financial, lending, and debt concepts. Proficiency in Advanced Excel and Advanced‑level SQL (must‑have), along with solid knowledge of data architecture, data storage principles, and normalization techniques.
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Relevant Work Experience:
Prior experience in a similar role or client engagement environment will be an advantage.
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Analytical & Problem‑Solving Skills:
Excellent attention to detail with strong logical reasoning skills to analyze large volumes of qualitative and quantitative data.
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Communication Skills:
Strong written and verbal communication abilities for clear coordination with clients and internal stakeholders.
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Work Approach & Ownership:
Self‑starter with strong ownership mindset, capable of working effectively under pressure in a fast‑paced and dynamic setting.