Location: Remote/Virtual (Eastern Time Zone business hours)
W2 Salary, not open to third parties or contractors
OVERVIEW:
For the Oakleaf Modeling & Analytics team, we are seeking a Jr. Financial Engineer with an interest in quantitative analytics and development.
The Jr. Financial Engineer would conduct analytical and reporting activities including collateral assessment, cash flow analysis, modeling, regression analysis, third-party due diligence, presentations, document reviews, etc. They would work in a collaborative environment with a strong focus on analytical and quantitative tasks. They must possess strong work ethics and attention to details. The Jr. Financial Engineer should be a fast learner, able to pick new tools and concepts up quickly.
RESPONSIBILITIES:

• Collaborate with team members on various projects and tasks.
• Gather and store data using programmatic tools.
• Create processes to collect data and build tools to automate data collection.
• Manage and update databases.
• Apply programming languages, statistics, and mathematical models to analyze data.
• Apply creativity and technical skills to elicit objective answers from historical data.
• Adapt economic and financial theory to answer real life complex business problems.
• Find and visualize patterns and trends in analyzed data.
• Create robust econometric and financial cashflow models.
• Conduct statistical analysis, running regressions, and estimating damages.
• Analyze structured finance products, company financials and market data.
• Provide in-depth research and communication with project team members.
• Document workflows, processes, and products.
• Formulate compelling written deliverables.
• Create compelling reports and presentations for internal teams and/or external clients.
• Create presentations with charts and graphs to present to supervisors, and clients.
• Present the results of research and analysis in person.

QUALIFICATIONS:

• Advanced degree in financial engineering, economics, science or engineering preferred.
• Experience working with Big Data, databases, Python, SAS, STATA or R.
• Experience in numerical calculations and quantitative analytics required.
• Experience in C++ or equivalent language is a plus.
• Prefer financial services experience, or at least a strong relevant academic record (financial service internships or projects).
• Must be a true fast learner who is able to pick up new tools and concepts quickly.

Job Type: Full-time