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5 дней назад

Sr Statistical Modeling Analyst (Credit Risk)

128 900 - 157 500$
Формат работы
remote (только USA)
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
Sr Statistical Modeling Analyst (Credit Risk): Developing and managing statistically derived credit risk models for loan and deposit originations, account management, collections, loss forecasting, capital planning, and stress testing with an accent on PD, LGD, EAD, and model validation. Focus on applying advanced statistical methods, analyzing large datasets, improving model accuracy, and translating complex model outputs into actionable credit union strategies.

Location: Remote, Washington, United States

Salary: $128,900–$157,500 annually; full pay range $99,900–$186,400 annually, plus performance-based incentives.

Company

hirify.global is a purpose-driven financial institution serving 1.5 million members and managing more than $30 billion in assets.

What you will do

  • Develop, redevelop, calibrate, implement, and document credit risk models, including Probability of Default, Loss Given Default, and Exposure at Default models.
  • Apply statistical methods to credit decisions, loss forecasting, reserving, economic capital, capital planning, and stress testing.
  • Research model enhancements, evaluate data reliability, manage data requests and systems testing, and improve model accuracy.
  • Collaborate with business partners and product management to interpret model results and generate actionable risk-management insights.
  • Participate in annual model reviews, performance testing, reporting, change control, and statistical model development lifecycle activities.
  • Analyze loan portfolio trends and present modeling results related to originations, servicing, collections, loss mitigation, and asset liquidation.

Requirements

  • Master’s degree or foreign equivalent in statistics, mathematics, finance, economics, or another quantitative discipline, with statistics coursework.
  • At least 3 years of statistical modeling experience, including credit risk modeling for mortgage, home equity, auto, credit card, or commercial loan products.
  • Experience developing and validating PD, EAD, and LGD models, with knowledge of logistic regression, survival analysis, Markov chains, and time series methodologies.
  • Knowledge of AI and machine learning tools.
  • Knowledge of at least three statistical analytical packages among SAS, Python, SQL, and R.
  • Ability to analyze and reconcile large volumes of data and communicate complex statistical insights to management and risk-modeling stakeholders.

Nice to have

  • Experience with capital planning, stress testing, CCAR, DFAST, or the Basel Regulatory Capital Framework.
  • Experience with multivariate analysis and Monte Carlo modeling techniques.

Culture & Benefits

  • People-focused culture guided by a “people helping people” philosophy.
  • 401(k) company match of up to 3% and a 4% annual hirify.global contribution.
  • Medical, dental, and vision coverage.
  • PTO program, tuition reimbursement, and volunteer time off with donation matching.
  • Equal opportunity employment environment.

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