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8 дней назад

Quantitative Analytics & Model Development Analyst Sr (Python/SQL)

86 250 - 172 500$
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
Quantitative Analytics & Model Development Analyst Sr (Python/SQL): Analyzing credit loss projections and developing quantitative models and reporting software with an accent on statistical model assessment, large datasets, and regulatory compliance. Focus on evaluating model risks, explaining complex analytical results, automating testing and controls, and preparing documentation for validation and regulatory reporting.

Location: In-office in Pittsburgh, PA, Washington D.C., or Northern Virginia

Salary: $86,250–$172,500 base salary annually, plus incentive eligibility

Company

hirify.global is a financial services corporation with a focus on banking, risk management, and customer solutions.

What you will do

  • Analyze credit loss model inputs, assumptions, processes, outputs, and projection drivers.
  • Develop, refine, monitor, and review quantitative model frameworks using complex datasets.
  • Assess model design, implementation, data quality, integrity, strengths, limitations, and risks.
  • Maintain and enhance analytics and reporting software, including automation, testing, controls, and documentation.
  • Prepare quantitative reports and regulatory validation documentation.
  • Communicate analytical findings and recommendations to technical, business, and senior-management audiences.

Requirements

  • Bachelor’s degree in an analytical discipline or equivalent relevant experience.
  • At least 3 years of relevant or direct industry experience.
  • Proficiency in Python and SQL.
  • Strong data analytics, quantitative analysis, problem-solving, and communication skills.
  • Familiarity with statistical models and large datasets.
  • Employment visa sponsorship and STEM OPT participation are not available.

Nice to have

  • Experience in banking, financial services, credit risk, credit loss forecasting, or regulatory reporting.
  • Knowledge of predictive analytics, quantitative techniques, model development, and financial-services regulatory environments.

Culture & Benefits

  • In-office work environment with a focus on inclusion, support, and employee development.
  • Medical, dental, vision, life, and disability coverage options.
  • 401(k) matching, pension, stock purchase plans, and dependent-care support.
  • Educational assistance and wellness programs with financial incentives.
  • Paid holidays, parental leave, occasional absence days, and 15–25 vacation days depending on career level and service.

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