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11 дней назад

Commercial Risk Model Development Associate (Fintech)

90 000 - 170 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Commercial Risk Model Development Associate (Fintech): Developing, implementing, monitoring, and enhancing quantitative credit risk models for commercial lending portfolios with an accent on statistical modeling, data quality, model performance, and regulatory governance. Focus on analyzing large financial datasets, performing back-testing and sensitivity analysis, and translating business requirements into scalable analytical solutions.

Location: Stamford, Connecticut, United States; other locations include Boston, Waterbury, and Dallas. Applicants must be legally authorized to work in the United States on a full-time basis without employer sponsorship.

Base pay: $90,000–$170,000 USD annually.

Company

Global financial services organization undergoing a technology-driven transformation and developing quantitative risk capabilities for commercial lending portfolios.

What you will do

  • Develop, enhance, implement, and monitor quantitative credit risk models and analytical frameworks.
  • Perform data analysis, data engineering, and statistical modeling for risk measurement and credit decisioning.
  • Evaluate model performance and stability through monitoring, back-testing, sensitivity analysis, and benchmarking.
  • Identify improvements to model methodologies, predictive performance, and operational efficiency.
  • Partner with business, credit, risk, data, and technology stakeholders to translate requirements into scalable analytical solutions.
  • Support model documentation, testing, implementation, governance, and innovative risk analytics using automation and advanced data techniques.

Requirements

  • Bachelor’s degree in a related field, or equivalent demonstrated through work experience, training, military service, or education.
  • 5+ years of experience in risk management, risk modeling, or AML.
  • Experience programming in Python, SQL, or similar analytical tools.
  • Experience developing, implementing, monitoring, or validating quantitative risk models in a regulated financial institution.
  • Experience working with large-scale financial, credit, and portfolio datasets, including data quality and data lineage challenges.
  • Advanced quantitative skills and practical modeling experience.
  • Knowledge of statistical modeling, predictive analytics, model performance monitoring, and model governance practices.
  • Ability to analyze large and complex datasets, identify data quality issues, anomalies, and trends, and understand commercial lending, credit risk measurement, and risk rating frameworks.
  • Ability to manage multiple priorities, meet strict deadlines, adapt to changing circumstances, build internal relationships, and communicate effectively in writing and verbally.

Nice to have

  • Master’s degree in a related field, or equivalent demonstrated through work experience, training, military service, or education.
  • Experience in commercial credit risk, risk rating models, probability of default modeling, loan risk assessment, or related credit risk disciplines.
  • Experience with data platforms and analytical environments, including Snowflake or similar cloud-based solutions.
  • Experience supporting model documentation, governance, validation, testing, or regulatory examination activities.
  • Established work history or equivalent experience, training, military service, or education.

Culture & Benefits

  • Risk-focused culture with proactive and responsible risk management expected at all professional levels.
  • Competitive rewards package and benefits supporting employees, families, and well-being.
  • Equal opportunity and inclusive, accessible application process.
  • Reasonable accommodations available during the application process.

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