2 дня назад
Portfolio Analytics & Strategy Specialist (Fraud Model Analyst)
91 000 - 169 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Portfolio Analytics & Strategy Specialist (Fraud Model Analyst) (Fraud Modeling/Financial Risk): Developing, testing, validating, and monitoring machine-learning and statistical models for fraud detection and portfolio risk with an accent on model governance, data quality, and analytical rigor. Focus on resolving model defects, evaluating model limitations, managing model developers, and communicating findings to risk, audit, regulatory, and senior management audiences.
Location: In-office in Cleveland/Strongsville, OH; Pittsburgh, PA; Birmingham, AL; Dallas, TX; Phoenix, AZ; or Denver, CO
Base salary: $91,000–$169,000 per year, plus incentive eligibility.
Company
is a banking and financial services organization focused on customer solutions, risk management, and regulatory compliance.
What you will do
- Oversee the development, testing, validation, monitoring, and maintenance of quantitative machine-learning and statistical models for fraud detection and deterrence.
- Conduct qualitative and quantitative assessments of model design, implementation, data quality, integrity, controls, and documentation.
- Evaluate model risks, defects, and limitations and drive remediation and model enhancements.
- Support model users and collaborate with downstream model owners, risk management, internal and external audit, regulatory compliance, and oversight partners.
- Develop portfolio, credit, operational-risk, and financial analyses using large datasets, predictive models, segmentation, and performance reporting.
- Provide leadership, coaching, and direction to model developers, including developers working remotely or offshore.
Requirements
- At least 5 years of industry-relevant experience and a bachelor's degree or comparable combination of education and experience.
- Proficiency with Python or R, Hadoop, SQL, and large datasets.
- Strong knowledge of probability, linear algebra, statistical modeling, data science, statistics, and data analytics.
- Experience with model development, validation, monitoring, data quality, and risk assessment.
- Ability to solve business problems analytically and present conclusions to less technical audiences and senior management.
- Employment visa sponsorship and STEM OPT participation are not provided.
Nice to have
- SAS experience.
- Trillium and/or Tableau experience.
- Knowledge of data management and graph databases.
- Experience with data correlation and visualization.
Culture & Benefits
- In-office work environment with an emphasis on an inclusive, supportive, and balanced workplace.
- Medical, prescription, dental, vision, life, and disability coverage options.
- 401(k) matching, pension, stock purchase plans, and dependent-care support.
- Educational assistance, wellness programs, paid holidays, leave programs, and 15–25 vacation days depending on career level and service.
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