Quantitative Researcher (ABS) Position Available In Miami-Dade, Florida

Quantitative Researcher (ABS) Bayview Asset Management – 3.4 Coral Gables, FL Job Details Full-time $110,000 – $140,000 a year 19 hours ago Qualifications Microsoft Excel Financial modeling R Research Mid-level Master’s degree SQL Statistical analysis C++ Bachelor’s degree Machine learning Scripting VBA Quantitative analysis 2 years Communication skills

Python Full Job Description Overview:

Position Summary The candidate will join the research group at Bayview Asset Management, which develops statistical models, conducts qualitative and quantitative analyses for the valuations of mortgages, consumer financial products, and other credit-related assets to support the investment teams across the whole firm. Essential Duties & Responsibilities Analyze the performance of consumer financial products (e.g. home improvement loans, solar loans/lease, personal loans, student loans, auto loans); Utilize statistical analyses and/or machine learning techniques to develop insight into borrower, servicer and lender behavior to identify trends and outliers; Develop statistical modelling to forecast future behavior; Develop and maintain cash flow engines for consumer financial products; Evaluate future cash flow for investments; Develop efficient data management, surveillance and quality assurance procedures for all internal and external data sources; Perform ad-hoc quantitative analysis on various investment opportunities. Skills & Knowledge Strong understanding of structured credit products, including CDOs, CLOs, ABS, RMBS, and securitization markets. Strong statistical modeling, data analytical and problem-solving skills; Hands-on programming experience in scripting (e.g. Python, R), and/or compiled languages (e.g. C++); Possess a good comprehension about mortgage option-adjusted spread (OAS) framework. Proficiency in financial modeling, statistical analysis, and programming languages (e.g., Excel, VBA, Python, R). Working SQL experience or prior experience with similar data processing languages is preferred; Effective communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders; Ability to work independently as well as collaboratively in a fast-paced, dynamic environment; Strong work ethics, professionalism, and commitment to integrity and ethical conduct. Education & Experience Candidates typically possess a bachelor’s or master’s degree in hard science, math, computer science, engineering or finance; 2-4 years of relevant experience working in a data driven research environment. Certifications, Licenses, and/or Registration N/A Location & Compensation This role is a hybrid position based in either Bayview’s Coral Gables, FL or New York, NY offices. We have existing team members in both locations. Base compensation is expected to be $110,000-140,000 with the opportunity for incentive compensation including bonus compensation. Physical Demands and Work Environment The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls. The employee frequently is required to talk and hear. The noise level in the work environment is usually moderate. The employee is occasionally required to stand; walk; reach with hands and arms. The employee is rarely required to stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. EEOC Bayview Asset Management is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.