- Страна
- США
- Зарплата
- 175 000 $ – 200 000 $
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AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending
Престижная позиция уровня AVP в прибыльной и быстрорастущей финтех-компании с отличной корпоративной культурой. Высокая заработная плата и стратегическая значимость роли делают вакансию очень привлекательной для экспертов в области Compliance и Data Science.
Сложность вакансии
Высокая сложность обусловлена требованием более 8 лет опыта в количественных финансах и глубоких знаний специфических методов тестирования моделей (Shapley, LDA). Роль подразумевает управление командой и взаимодействие с регуляторами США в быстро меняющейся финтех-среде.
Анализ зарплаты
Предлагаемый диапазон $175,000 - $200,000 полностью соответствует рыночным ожиданиям для позиций уровня AVP в сфере комплаенса и количественной аналитики в штате Нью-Джерси/Нью-Йорк. Это конкурентоспособная оплата для финтех-сектора США.
Сопроводительное письмо
I am writing to express my strong interest in the AVP, Consumer Compliance, Fair & Responsible Banking position at Cross River. With over 8 years of experience in quantitative finance and a deep specialization in Fair Lending analytics, I have consistently demonstrated the ability to build robust statistical frameworks that ensure regulatory compliance while supporting business growth. My background in managing multidisciplinary teams and my technical expertise in disparate impact analysis and proxy testing align perfectly with your mission to democratize financial services.
At my previous roles, I have successfully led Fair Lending Analytics programs, collaborating closely with Data Science and Model Risk Management teams to implement Shapley-based testing and Less Discriminatory Alternative searches. I am particularly drawn to Cross River's reputation as a top workplace in fintech and its commitment to financial inclusion. I am confident that my ability to translate complex technical scenarios into actionable strategies for executive leadership will make me a valuable asset to your compliance team.
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Откликнитесь в crossriverbank уже сейчас
Присоединяйтесь к лидеру финтех-индустрии и возглавьте направление аналитики справедливого кредитования в Cross River!
Описание вакансии
Who We Are
Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion.
We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.
What We're Looking For
Cross River Bank is seeking an AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function. The AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending manages the development and implementation of modeling and statistical technologies to ensure the Bank’s policies, products, practices, and models are fair.
Responsibilities:
The AVP, Consumer Compliance, Fair & Responsible Banking, Fair Lending performs a wide range of duties including, but not limited to:
- Own, enhance, implement, and maintain the Bank’s Fair Lending Analytics Program, ensuring that appropriate Fair Lending statistical analyses are conducted accurately and timely to mitigate fair lending risk across the Bank’s partners and products.
- Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources--to set actionable strategy and accomplish organizational objectives.
- Assist the Bank with meeting its Fair Lending regulatory requirements and maintaining an appropriate Fair Lending Analytics Program that is suitable for its size, complexity, and business model.
- Advise the Bank’s Board of Directors, Executive Suite, oversight committees, Senior Management, and Bank personnel of emerging fair lending risks or issues to ensure compliance directives are maintained and examination-ready guidelines are followed.
- Oversee the creation and implement of fair lending analytics procedures.
- Identify the need for fair lending analytics through the Bank’s various fair lending risk mitigation activities, such as fair lending risk assessments.
- Collaborate with senior leadership on fair lending analytics-related work concerning regulatory examinations and requests.
- Review, interpret, and communicate the results of fair lending statistical analysis to a wide range of audiences, including auditors, regulators, Board of Directors, Executive Suite, oversight committees, Senior Management, and Bank personnel.
Qualifications:
- 8+ years’ experience in quantitative finance, statistics, economics, or a related quantitative field with 5+ years’ experience in a project manager or lead position as well as experience managing a team.
- Knowledge of consumer lending and banking products and practices.
- Knowledge of US fair lending or fair banking-related laws, regulations, and guidance, including the Equal Credit Opportunity Act (ECOA), the Fair Housing Act (FHA), and Unfair, Deceptive, and Abusive Acts or Practices (UDAAP).
- Extensive experience with fair lending-related model testing, including the following techniques:
- Feature/variable proxy testing
- Less Discriminatory Alternative search
- Shapley-based model proxy testing
- Statistical significance model proxy testing
- Quantification of disparate impact
- Determination of affected groups
Additional Requirements:
- Strong planning and organizational skills, with an ability to establish strategic direction and subsequently develop and manage supporting initiatives.
- Excellent presentation and communication skills, including technical writing abilities.
- Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple terms.
- Ability to direct, manage, and support staff.
- Ability to interact positively with federal regulatory agencies.
- Ability to operate successfully in a fast-paced environment.
- Ability to collaborate successfully across internal teams.
- Ability to communicate effectively with colleagues with varying degrees of technical analytics knowledge and experience.
#LI-JJ1 #LI-Hybrid #LI-Onsite
Salary Range: $175,000.00 - $200,000.00
Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information.
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Навыки
- Quantitative Finance
- Statistics
- Economics
- Project Management
- Fair Lending Compliance
- Data Science
- Model Risk Management
- Data Governance
- Technical Writing
- Machine Learning Proxy Testing
- Disparate Impact Analysis
Возможные вопросы на собеседовании
Проверка технической экспертизы в области анализа моделей на предмет предвзятости.
Расскажите о вашем опыте проведения поиска менее дискриминационных альтернатив (LDA) для моделей кредитного скоринга.
Оценка способности кандидата объяснять сложные технические риски руководству.
Как вы объясните результаты анализа диспропорционального воздействия (disparate impact) совету директоров, не имеющему технического образования?
Проверка знаний регуляторной базы США.
Какие основные вызовы вы видите в соблюдении требований ECOA и UDAAP при использовании моделей машинного обучения в кредитовании?
Оценка лидерских качеств и опыта управления.
Опишите случай, когда вам пришлось координировать работу между отделами Data Science и Compliance для решения выявленной проблемы в модели.
Проверка навыков работы с данными и прокси-переменными.
Какие методы вы используете для выявления скрытых прокси-переменных в моделях, которые могут привести к дискриминации?
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- Страна
- США
- Зарплата
- 175 000 $ – 200 000 $