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12 часов назад

Senior Associate, Credit Risk Analytics (Fintech)

Формат работы
hybrid
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
Senior Associate, Credit Risk Analytics (Credit Risk, SQL/Python/Power BI): Reviewing credit risk across underwriting, portfolio management, and loss mitigation while building risk dashboards and monitoring frameworks with an accent on portfolio quality, risk metrics, and emerging-risk assessment. Focus on developing advanced SQL and Python analyses, setting credit risk limits, challenging business processes, and communicating findings to senior leadership and regulators.

Location: Newark, Delaware, United States; flexible hybrid working arrangement

Company

hirify.global provides financing, guidance, and support for students throughout their higher-education journey.

What you will do

  • Perform second-line analytical reviews of credit risk across underwriting, portfolio management, and loss mitigation.
  • Evaluate the risk impact of strategy and environmental changes, including layered risks and emerging credit trends.
  • Design Power BI dashboards and improve risk reporting workflows across operational, financial crime, technology, cyber, enterprise, controls, and compliance risk areas.
  • Develop and optimize Python scripts and SQL queries for data extraction, manipulation, and reporting.
  • Monitor portfolio credit quality, credit decision components, models, alternative data, and related tools.
  • Document review results, support quarterly Chief Credit Risk Officer submissions, and communicate findings to business partners, senior leadership, and regulators.

Requirements

  • Degree in statistics, economics, mathematics, quantitative science, or equivalent relevant experience.
  • Advanced SQL coding skills with at least two years of experience.
  • Experience in credit analytics, financial services, credit strategy, or an equivalent area.
  • Applied experience with statistical tools such as SAS, Python, R, or Tableau.
  • At least two years of experience building Power BI dashboards using DAX.
  • Knowledge of credit policies, regulatory requirements, and standards, along with strong communication, presentation, organization, and stakeholder collaboration skills.

Nice to have

  • Master’s or PhD degree.
  • Advanced Python knowledge.
  • Exposure to machine learning.
  • Experience building Tableau dashboards.

Culture & Benefits

  • Flexible hybrid working arrangements.
  • Competitive base salary and bonus incentives.
  • Generous paid time off, floating holidays, and observed federal holidays.
  • 401(k) retirement plan with employer match and comprehensive health, dental, vision, disability, life, and pet insurance.
  • Paid parental leave, adoption reimbursement, tuition reimbursement, and family scholarship programs.
  • Career development, training opportunities, wellness programs, employee assistance, and fitness benefits.

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