The Oakleaf Group is seeking a Senior Associate to support 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 bond administration advisory services. The Senior Associate will leverage advanced analytical techniques to examine large datasets, identifying patterns, trends, and insights that inform strategic decisions for various projects. We are seeking is a highly skilled and analytical thinker who thrives in a dynamic, data-driven environment and is committed to delivering impactful business results. This is a fully remote role, temp-to-perm role.

Responsibilities:

• Contribute to business analytics projects, utilizing statistical methods, modeling, and data analysis to develop tools such as dashboards, infographics, reports, and models for informed decision-making.
• Apply statistical modeling techniques, such as regression analysis, to forecast trends and provide actionable insights.
• Use programming and scripting skills to efficiently manage large datasets, ensuring data integrity and accessibility.
• Prepare and present reports with findings and solutions to assist management in decision-making and risk minimization.
• Develop a deep understanding of business models, objectives, and challenges through collaboration with users and stakeholders.
• Support managers in risk management and model construction. Create new, experimental frameworks to collect data and build tools to automate data collection.
• Identify trends, patterns, and anomalies in big data sets, and perform data mining, cleaning, and aggregation to prepare and implement data models, conduct analysis, and develop databases.
• Interpret results from various data sources using programming, statistical, and analytical techniques, collaborating with teams to ensure data-driven solutions align with organizational goals.
• Generate and evaluate alternative methods for cash flow projections and valuations, according to client needs.

Requirements:

• PhD in statistics, economics, finance or relevant engineering disciplines.
• 5 years of related consulting experience in the financial industry with at least 2 years in a research and data analysis environment.
• Advanced knowledge and background in statistical models, machine learning, and data science.
• Experienced with statistical modeling, cash flow modeling, data analytics, and quantitative risk analytics. Skilled at statistical analysis, running regressions, and estimating damages.
• Proficient in gathering, processing, and analyzing large data sets, using Python and/or R, SQL, SAS, and VBA.
• Proven ability to work independently, collaborate, and serve as a team leader; ability to serve as a mentor to junior staff.
• Strong communication skills; able to convey ideas clearly and persuasively (written and verbal), skilled in creating and delivering compelling reports and presentations, conveying technical insights to diverse audiences.
• Ability to absorb and analyze information and simplify complex issues for various audiences.
• Familiarity with RMBS payment structures (“waterfalls”), preferably for private-label securities.
• Ability to read and interpret PSAs and offer documents such as Prospectus Supplements.
• Experience using Intex or other cashflow modeling tools.
• Understanding of mortgage performance modeling including default, severity, and prepayment models; fixed income analysis and valuations; and loan performance and service data.
• Excellent organizational and analytical skills and attention to detail.
• Demonstrated ability to work independently and collaboratively in a team-oriented environment.
• 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.