2 дня назад
Associate, Model Development (Hybrid Position) (Fintech)
90 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate, Model Development (Hybrid Position) (Fintech): Developing and maintaining empirical and credit scoring models for a nonprime auto lender with an accent on statistical analysis, portfolio risk assessment, and large-scale data preparation. Focus on building regression and machine-learning models, validating model documentation, and translating quantitative findings into recommendations for senior management.
Location: Dallas, United States; hybrid position. Applicants must be legally authorized to work full time in the United States without employer sponsorship.
Salary: $90,000–$170,000 annual base pay
Company
Global financial services organization undergoing a technology-driven, customer-centric transformation.
What you will do
- Supervise the development and maintenance of credit origination and customer behavior scorecards for a nonprime auto lender.
- Develop model assumptions, statistical theory, empirical evidence, and documentation supporting mathematical model soundness.
- Analyze portfolio and origination trends to identify risks, opportunities, and actionable insights.
- Build robust model development datasets from internal and external sources using data mining and statistical techniques.
- Prepare executive-level summaries and recommendations for senior management and collaborate with IT and internal teams on data requirements.
- Support independent model validation and compliance with internal policies and U.S. Federal Reserve regulation SR 11-07, while mentoring junior statisticians.
Requirements
- Bachelor’s degree in a related field or equivalent combination of experience, training, military service, or education.
- At least 5 years of analytics experience in financial services.
- Experience with logistic and linear regression, segmentation, variable reduction, hypothesis testing, neural networks, design of experiments, ANOVA, and decision trees.
- Experience with credit bureau data, SAS Base, SAS/STAT, PROC SQL, SAS Macro programming, and SQL data extraction.
- Ability to merge, clean, and prepare extremely large datasets for statistical analysis and model development.
- Strong communication skills and the ability to explain advanced mathematical concepts to business audiences and coordinate multiple modeling tasks.
Nice to have
- Master’s degree in a related field.
- At least 5 years of indirect subprime auto financial services experience.
- Prior experience developing credit scoring models.
- Knowledge of R and advanced MS Excel pivot tables.
Culture & Benefits
- Competitive rewards package and benefits supporting employees, families, and well-being.
- Strong risk culture with proactive responsibility for risk management.
- Inclusive and accessible application process with reasonable accommodations available.
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