обновлено 2 дня назад
Quantitative Modeler & Data Scientist (AI/ML)
100 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Quantitative Modeler & Data Scientist (AI/ML): Developing and validating statistical, financial, economic, machine learning, and AI-enabled models for banking decisions, risk management, forecasting, and strategic initiatives with an accent on credit risk, fraud detection, model governance, and regulatory alignment. Focus on designing validation tests, assessing model assumptions and limitations, and translating quantitative analysis into recommendations for business teams, senior management, and regulators.
Location: Fully onsite in Lake Oswego, Oregon, United States
Salary: $100,000–$150,000 per year, with possible performance-based incentive compensation.
Company
provides banking and financial services with a focus on business banking, risk management, regulatory compliance, and data-informed decision-making.
What you will do
- Design, implement, test, document, monitor, and maintain statistical, financial, economic, machine learning, and AI-enabled models.
- Develop models for credit risk, default, loss severity, fraud detection, customer analytics, financial planning, anti-money laundering, asset liability management, and model monitoring.
- Conduct quantitative analysis, data mining, forecasting, and programming using Python, PySpark, R, SQL, Databricks, Snowflake, and other analytics platforms.
- Perform model validation, assess assumptions, specifications, data, variable selection, limitations, and developmental evidence.
- Partner with business, technology, risk, compliance, and governance stakeholders to align modeling solutions with business needs and regulatory expectations.
- Prepare model findings and reports for senior management and regulators, and support model inventory governance and AI adoption standards.
Requirements
- Required: Master’s degree in economics, mathematics, statistics, financial engineering, quantitative finance, actuarial sciences, or a related field.
- Required: 2–4 years of experience in banking or financial services as a data scientist, statistician, quantitative risk analyst, model developer, model validator, or in a similar role.
- Advanced knowledge of statistical modeling, econometric forecasting, machine learning, data extraction, and data processing.
- Experience with Python, PySpark, R, Matlab, Excel VBA, SQL, relational databases, and cloud or analytics platforms such as Azure, AWS, Databricks, or Snowflake.
- Knowledge of model risk management regulations, including FRB/OCC SR 26-2, Basel II/III, and DFAST.
- Strong written and oral communication skills, organizational ability, business intuition, and capacity to manage multiple concurrent projects.
Nice to have
- Ph.D. or equivalent experience.
- FRM, CFA, or CQF certification, or progress toward certification.
- Experience coaching, mentoring, or teaching as a subject matter expert.
Culture & Benefits
- Full-time employment with comprehensive healthcare, including medical, dental, and vision coverage.
- 401(k) retirement plan with employer matching for qualifying contributions.
- Paid vacation, sick days, volunteer days, and holidays.
- Life and disability insurance, employee assistance, mental health resources, tuition assistance, and legal support.
- Additional insurance and discount programs, including identity theft protection, auto and home insurance, and pet insurance.
- Benefit eligibility begins on the first day of the month following hire for associates regularly scheduled to work at least 30 hours weekly.
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