Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Средняя
$112к-250к/год
$140к$160кмедиана$190к
По похожим ролям (50) ~ $160к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.3к)
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У роли понятный уровень и задачи в ML и облачных технологиях, а пакет льгот выглядит сильным. Обязательный офис и отсутствие визового спонсорства ограничивают доступность, зарплата находится примерно на уровне рынка.
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Только офисБез визовой поддержкиСовременный стекПонятные задачиРыночная зарплатаСильный пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Additional support may include dependent care, backup child and elder care, adoption, surrogacy, and doula reimbursement.
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