NuvoLogic Consulting is a management consulting company in the Northern Virginia area. We engage with public and private sector clients with a primary focus on financial services and mortgage finance. We help our clients in the areas of finance, accounting and operations to support CFO, budget, audit readiness, and risk management functions; business and data analytics to help management make insightful decisions; internal controls, compliance and governance to ensure processes are compliant with regulatory guidance; and process improvements to explore and implement efficient approaches.
NuvoLogic is a growing company and we are looking for individuals to grow with us. We are looking for consultants who not only have strong technical skills, but are well-rounded, analytical, detail oriented, inquisitive, problem solvers. We encourage you to share ideas and explore innovation, but also inspire you to implement those ideas and think big. We foster a collaborate and supportive environment where you can do your best work and think of your greatest ideas.
Job Description NuvoLogic Consulting is seeking a Consultant with a strong financial modeling, financial analysis and econometrics background in mortgage finance and housing to support our public sector clients. The qualified consultant will utilize their knowledge of and experience with financial and predictive models to support the end-to-end model development lifecycle (develop, enhance, maintain models and support audit efforts). The consultant will have a strong understanding and hands-on experience with financial analysis, financial modeling, and economic and statistical modeling. Consultant will have the ability to analyze and interpret complex statistical and financial data using various program languages and advanced quantitative, econometric and statistical techniques. The Consultant will engage directly with the client and relevant stakeholders, and lead and manage the team to ensure project objectives and deliverables are met.
Responsibilities and Duties: Develop and maintain predictive financial models and analytical tool(s) used for portfolio management, valuation, financial reporting, and strategic decision-making. Prepare data and model inputs, formulate model assumptions, develop model framework, methodologies Ensure internal controls and models are in compliance with governance policies and procedures. Ensure models developed are reliable, stable, and accurate using both quantitative (statistical) and qualitative techniques, such as sensitivity analysis, back-testing and benchmarking model performance using programming languages, such as SAS, R, and Python, and VBA. Provide insight regarding model performance and soundness of results. Evaluate statistical significance of relevant economic variables used in models. Evaluate and recommend inclusion of alternate economic variables and ways to improve model coefficients. Gather data from source systems and perform data analytics and cleansing to prepare the data for model execution. Support budget calculations of Multifamily portfolio credit subsidy rates and re-estimates Collaborate with all model and client stakeholders. Research, recommend, and present model enhancements, applying industry best practices and techniques. Document model results and analytics. Produce high-quality, well-written model reports. Perform impact analyses of program and/or policy changes. Perform ad hoc analyses and develop impactful reports using various software tools and programming languages. Develop model governance frameworks and ensure compliance with model governance policies and procedures, as needed. Support internal and external audits, and requests from OMB, GAO and regulators, as needed. Requirements Qualifications Bachelors in Business, Economics, Finance, Quantitative Finance, Mathematics, or other applicable quantitative or technical field or the equivalent combination of training, education, and experience. At least 5 years of relevant experience. Intermediate to advanced proficiency with SAS, VBA, and Excel while managing large data. Proficiencies in R, Python, and other programming languages/analytical tools is a plus. Public sector and/or financial services experience required in mortgage finance and housing. CFA is a plus Required Skills Experience with mortgage and loan portfolios Experience with Credit Reform, credit subsidy rates and re-estimate calculations Knowledge of loss reserve, loss allowance, credit subsidy modeling and forecasting. Strong research, analytical, and problem-solving skills. Strong verbal and written communication skills. Ability to analyze and interpret complex statistical and financial data using SAS, and various program languages. Ability to communicate complex, technical concepts to both technical and non-technical audiences verbally and in written form. U.S. citizenship required.
Benefits Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Short Term & Long Term Disability Work From Home
