Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$157к-181к/год
$110к$140кмедиана$180к
По похожим ролям (36) ~ $140к/год
85
Отличная вакансия
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Четко определенная роль лида с высокой зоной ответственности в стабильном финтех-домене, сфокусированная на аналитике корпоративных рисков.
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Выше рынкаСовременный стекЧеткие обязанности
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Enterprise Risk Management Data Analytics Lead (Fintech): Designing and delivering enterprise risk dashboards, executive scorecards, KPI frameworks, and automated reporting for mortgage securitization risk programs with an accent on Power BI, data integrity, and AI-enabled analytics. Focus on transforming complex risk data into executive insights, automating recurring reports, and identifying emerging risks and operational trends across regulated financial services.
Location: US-Remote; applicants must be authorized to work in the United States without current or future employer sponsorship
Salary: $156,500–$181,000 per year
Company
hirify.global operates a cloud-based mortgage securitization platform supporting the Uniform Mortgage-Backed Security market, including issuance, bond administration, disclosure, tax services, and full lifecycle management.
What you will do
Design, develop, and maintain enterprise risk dashboards, executive scorecards, KPI frameworks, and analytics solutions using Power BI and other business intelligence or AI platforms.
Partner with stakeholders to define metrics, validate requirements, and translate business questions into scalable reporting solutions.
Analyze business performance, risk indicators, operational trends, emerging risks, recurring issues, and improvement opportunities.
Deliver insights and recommendations for strategic decisions, operational effectiveness, and business performance.
Automate and optimize recurring reporting, including Risk and Control Self-Assessments, operational events, issues, and validations.
Communicate analytical findings to executives and collaborate across business, technology, risk, compliance, and audit teams.
Requirements
Bachelor’s degree in analytics, business, data science, statistics, mathematics, finance, computer science, engineering, or a related quantitative discipline.
Minimum 7–8 years of management experience in enterprise risk or operational risk management.
Advanced proficiency in Power BI, including data modeling, DAX, Power Query, dashboard architecture, performance optimization, and executive reporting.
Strong hands-on experience with Python, SQL, and PostgreSQL for data extraction, transformation, automation, analytical modeling, and reporting.
Expertise in enterprise-scale dashboards, executive scorecards, KPI frameworks, business intelligence, data validation, reconciliation, testing, quality assurance, governance, and documentation.
Ability to translate complex business challenges into scalable analytical solutions, identify trends and risks, and influence strategic and operational decisions.
Ability to work independently as a highly visible individual contributor while leading initiatives and influencing outcomes across teams.
Must be authorized to work in the United States without employer sponsorship; H-1B sponsorship is not offered.
Nice to have
Advanced degree or CISA certification.
AWS Certified Data Analytics, IBM Data Analyst Professional, or Google Data Analytics Professional certification.
Experience with predictive modeling, AI-enabled reporting, machine learning, or intelligent automation.
Experience in risk management, compliance, audit, third-party risk, fintech, financial services, or other highly regulated environments.
Familiarity with mortgage and securitization market processes.
Culture & Benefits
Full-time remote position within the United States.
Performance bonus, 401(k) match, healthcare coverage, PTO, and additional benefits.
Employment is subject to a background investigation and, for some roles, a credit check.
Equal Opportunity Employer.
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