The Oakleaf Group is a mortgage and financial services consulting firm with expertise in risk management and financial modeling for the mortgage and banking industries. Our clients are banks and non-bank mortgage firms, government agencies, law firms, insurance companies, institutional asset managers, and hedge funds.

We differentiate ourselves through our approach to the relationships with our clients. We begin with the belief that each client relationship will be ongoing, spanning multiple projects/engagements. We invest in communication and research to ensure that we fully understand the drivers of every client’s short- and long-term success. We align our goals with those of our clients, and we continuously monitor and adjust to ensure that the relationship stays strong.

The Oakleaf Group is seeking a Senior Quantitative Analytics Specialist 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 Quantitative Analytics Specialist will leverage advanced analytical techniques to examine large datasets, identifying patterns, trends, and insights that inform strategic decisions for various projects. We are seeking 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, a temp-to-perm role. (We anticipate that this role will require 20 hours of work/week in July and August, and increase to 40 hours/week beginning in September.)


  • 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.


  • PhD in statistics, economics, finance, or relevant engineering disciplines is a must-have.
  • 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 remote position requires the ability to work effectively from a home office, even with moderate household noise.


Pay Range
$60$75 USD

Compensation & Benefits

The Oakleaf Group offers a competitive compensation based on the candidate’s skills and experience. Oakleaf offers healthcare benefits to include health, dental, and vision plans as well as other benefits in accordance with applicable Federal or State law.

Equal Employment Opportunity
The Oakleaf Group is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. The Oakleaf Group does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identify or expression, mental or physical disability, genetic information, veteran status or any other basis prohibited by applicable law.
Oakleaf is committed to providing equal employment opportunity to all job seekers. Reasonable accommodations for job seekers with disabilities will be provided. Individuals with a disability that are unable to use our online tools to search and/or apply for jobs should email, include "Applicant Accommodation" in the subject line of the email, and specify the assistance needed in the body of the email. Please note that this mailbox is reserved for job seekers who need to request an accommodation to apply for a job. Emails, for any other reason, will not receive a response.

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