Posted:
8/30/2024, 5:09:08 AM
Location(s):
Dallas, Texas, United States ⋅ Texas, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Data & Analytics
The Associate, Model Development is responsible for supervising the development and maintenance of sophisticated empirical models - including credit scoring models - for a nonprime auto lender. The position is highly quantitative in nature and requires an individual capable of taking a "hands on" approach to data analysis. This position is furthermore responsible for summarizing and reporting information to a variety of internal and external clients.
Researches, develops and implements competitive pricing programs and/or banking products and services for various lines of business to appropriately price based on risk, deposit, or credit goals while maintaining profitability.
Continuously monitors the market and competitor strategies to ensure pricing is in line to provide consumers and/or clients a fair price while maintaining market share and/or deposit levels.
Plans, directs and facilitates all phases of the pricing strategy changes from inception through introduction into the marketplace.
Ensures products meet regulatory and industry standards.
Supervises the development of complex mathematical models – including credit origination and customer behavior scorecards - which directly support critical decision making processes and the company’s overall understanding of our business, the markets within which we operate, and our customers.
Develops the underlying assumptions, theory, empirical evidence, and conceptual soundness of statistical and mathematical models.
Applies statistical techniques to analyze trends and uncover risks and opportunities relative to portfolio management and originations.
Uses internal and external data sources to create robust model development datasets.
Qualifications:
Bachelor's Degree or equivalent work experience.
Work Experience: 5+ years ; Analytics in Financial Services Industry.
Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
Prior experience working with credit bureau data.
Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
Demonstrated ability to create complex pivot tables in MS Excel.
Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We actively encourage everyone to apply.
Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.
This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate at any time for any reason.
The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.
Minimum:
Maximum:
Website: https://www.santanderbank.com/
Headquarter Location: Boston, Massachusetts, United States
Employee Count: 5001-10000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Debt Financing
Industries: Banking ⋅ Finance ⋅ Financial Services