обновлено 6 дней 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/R/Python): Overseeing the development, testing, validation, and monitoring of machine-learning and statistical models used for fraud detection and deterrence with an accent on model governance, data quality, and risk assessment. Focus on resolving model defects, managing model developers, communicating findings to risk and regulatory stakeholders, and translating quantitative analyses for senior management.
Location: In-office role based in Cleveland or Strongsville, Ohio; Pittsburgh, Pennsylvania; Birmingham, Alabama; Dallas, Texas; Phoenix, Arizona; or Denver, Colorado.
Base salary: $91,000–$169,000 per year, plus incentive eligibility.
Company
is a banking and financial services organization focused on customer solutions, financial reporting, risk management, and regulatory compliance.
What you will do
- Oversee the development, testing, validation, monitoring, and maintenance of machine-learning and statistical models for fraud detection and deterrence.
- Assess model design, implementation, data quality, controls, documentation, defects, limitations, and related risks.
- Coordinate with model users, risk management, oversight, internal and external audit, regulatory compliance, and downstream model owners.
- Lead resolution and enhancement of model shortcomings while maintaining model development lifecycle standards.
- Provide direction, coaching, training, and work-set oversight to model developers, including developers working remotely or offshore.
- Analyze large datasets and synthesize quantitative results into business strategies, reporting, and presentations for less technical audiences and senior management.
Requirements
- University or college degree, typically a bachelor’s degree, or a comparable combination of education, certifications, and experience.
- 5+ years of industry-relevant experience.
- Proficiency with Python or R, Hadoop, SQL, and large datasets.
- Knowledge of probability, linear algebra, statistical modeling, data science, statistics, and data analytics.
- Experience with model development, validation, monitoring, risk management, data correlation, and visualization.
- Employment visa sponsorship and STEM OPT participation are not available for this position.
Nice to have
- SAS experience.
- Experience with Trillium and/or Tableau.
- Knowledge of data management and graph databases.
- Experience with credit risk, operational risk, predictive analytics, and financial analysis.
Culture & Benefits
- In-office work environment with a focus on an inclusive and supportive workplace.
- Medical, prescription, dental, vision, life insurance, disability, and health savings account options.
- 401(k) matching, pension, stock purchase plans, and dependent care support.
- Educational assistance, wellness programs, paid holidays, parental leave, and 15–25 vacation days depending on career level and service.
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