Junior Data Analyst / Engineer

The Oakleaf Group seeks a Junior Data Analyst / Engineer to join our Modeling & Analytics team. This is an exciting opportunity to work in a fast-paced environment, collaborating with colleagues and clients, and supporting our litigation and capital markets advisory services. You will perform analytical and reporting activities including structured financial products collateral assessments, cash flow analysis, modeling, regression analysis, third-party due diligence, presentation development, and document reviews. We seek a fast learner who can pick up new tools and concepts quickly.

Responsibilities:

• Learn, utilize, and enhance existing Oakleaf tools (i.e., software applications such as ETL, data scraping, and damage calculations).
• Manage and update databases for case-related work as needed, for future projects with similar needs, or for business development projects.
• Engage in the formulation of hypotheses for research and investigation of complex economic and financial problems. Adapt economic and financial theory to answer complex business problems.
• Construct and validate cashflow models for mortgage-backed securities, econometric and predictive models, and / or valuation models.
• Conduct statistical analysis, run regressions, and estimate damages.
• Document workflows, processes, and results.

Qualifications:

• Bachelor s degree in economics, computer science, mathematics, statistics, finance, or a related science/engineering field.
• Basic knowledge and background in statistical models and data science.
• Experience handling large volumes of data.
• Proficient in one of the programming languages: Python, R, or SAS.
• Knowledge of MS Office applications, specifically Excel and Word.
• Demonstrated written and verbal communication skills.
• Ability to absorb and analyze information and simplify complex issues for various audiences.
• This is a remote position and requires the ability to work in a home office environment with the ability to work effectively surrounded by moderate home environment noise.