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7 дней назад

Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive Modeling)

112 000 - 249 600$
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 Consultant Senior - Retail Banking (ML & Predictive Modeling) (Machine Learning and Predictive Modeling): Developing, validating, implementing, and enhancing quantitative models and predictive analytics solutions for deposits, transactions, wealth management, customer segmentation, and retail banking with an accent on large-scale data, cloud technologies, and model risk assessment. Focus on building and optimizing machine learning models, simulating business scenarios, validating model design and data quality, and communicating regulatory findings to technical, business, and executive stakeholders.

Location: In-office in Pittsburgh, PA; Cleveland, OH; Tysons Corner, VA; Washington, DC; or East Brunswick, NJ, United States

Base salary: $112,000–$249,600 per year, plus incentive eligibility.

Company

hirify.global is a banking and financial services organization focused on serving retail banking customers and managing financial risk.

What you will do

  • Develop, implement, refine, monitor, and validate advanced machine learning, predictive analytics, and quantitative models.
  • Build models using large-scale data assets, cloud technologies, and big data environments.
  • Perform complex qualitative and quantitative assessments of model design, implementation, theoretical foundations, data quality, and integrity.
  • Evaluate model risks, strengths, limitations, and regulatory compliance requirements.
  • Support deposits, transactions, wealth management, customer segmentation, and other retail banking initiatives.
  • Communicate analytical findings and collaborate with model owners, developers, business stakeholders, and executive audiences.

Requirements

  • Bachelor’s degree with 8+ years of relevant experience, Master’s degree with 6+ years, or PhD with 3+ years.
  • Advanced programming experience with Python and PySpark.
  • Hands-on experience developing and deploying machine learning and predictive modeling solutions.
  • Experience with AWS, Microsoft Azure, or Google Cloud Platform and large-scale datasets.
  • Advanced SQL skills, including complex joins, aggregations, subqueries, data transformation, manipulation, and query optimization.
  • Ability to work in-office in one of the specified United States locations; employment visa sponsorship and STEM OPT participation are not available.

Nice to have

  • Banking or financial services experience.
  • Experience with EAD, PD, LGD, CECL, stress testing, risk modeling, or regulatory frameworks.
  • Experience supporting retail banking products, model risk management, and banking regulatory expectations.

Culture & Benefits

  • Inclusive, supportive in-office workplace focused on customer service and risk management.
  • Medical, prescription, dental, and vision coverage, with a Health Savings Account option.
  • 401(k) match, pension, stock purchase plans, life insurance, and disability protection.
  • Paid holidays, parental leave, vacation days, wellness programs, and educational assistance.
  • Additional support may include dependent care, backup child and elder care, adoption, surrogacy, and doula reimbursement.

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