Business Insights Specialist (US) Retail and Non-Retail Portfolios
Контакты
120 160 - 155 950$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
sqldata analysisrisk managementbusiness intelligencestakeholder managementdata qualityfinancial servicesretail lendingcredit data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$120к-156к/год
$130к$140кмедиана$170к
По похожим ролям (45) ~ $140к/год
82
Хорошая вакансия
развернуть
Понятная аналитическая роль старшего уровня в крупном банке с заметной ответственностью за кредитные данные и работу со стейкхолдерами; задачи широкие, но сосредоточены в одной области.
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Широкая зона ответственностиАктуальный стекПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Business Insights Specialist (US) Retail and Non-Retail Portfolios (Credit Data/SQL): Analyzing and reconciling multi-year loan data across Retail and Non-Retail portfolios to identify data quality issues, explain historical inconsistencies, and prepare documented datasets for advanced analysis and benchmarking with an accent on credit processes, source systems, and business definitions. Focus on translating complex data into actionable insights, leading cross-functional analytics projects, and communicating recommendations to business stakeholders.
Location: Remote, with the role associated with Greenville, South Carolina, United States; occasional domestic travel required.
Salary: $120,160–$155,950 USD per year.
Company
TD is a global financial institution and major North American bank serving households and businesses in Canada, the United States, and other markets.
What you will do
Lead deep analysis and reconciliation of historical loan data across Retail and Non-Retail portfolios.
Identify data quality issues, historical inconsistencies, anomalies, and changes in business definitions over time.
Prepare well-documented datasets for advanced analysis, benchmarking, and proof-of-concept validation.
Translate business requirements into analytics and reporting needs, and develop actionable insights and recommendations.
Present complex findings through audience-appropriate visualizations and presentations to stakeholders and business leaders.
Lead complex cross-functional projects, support remediation and governance plans, and provide day-to-day analytics delivery.
Requirements
5+ years of relevant experience; higher-degree education and research tenure may be counted.
Strong knowledge of Retail and Non-Retail loan information, source systems, data definitions, and credit processes.
Strong knowledge of SQL and data analysis or research.
Ability to interpret complex business issues, synthesize large volumes of quantitative and qualitative information, and produce actionable insights.
Ability to explain data and process anomalies, investigate analytics-related issues, and recommend resolutions.
Ability to build business requirements, translate them into analytics requirements, and work with business and analytics teams.
Strong stakeholder management, communication, collaboration, and influencing skills, including interaction with senior and executive stakeholders.
Undergraduate degree or advanced technical degree preferred in mathematics, physics, engineering, finance, computer science, or a related field; graduate degree preferred.
Ability to support compliance with internal and external requirements, risk management, governance, and regulatory expectations.
Nice to have
Retail and Non-Retail loan data or similar experience.
Graduate degree with progressive project work experience.
Culture & Benefits
Remote workplace with occasional domestic travel.
Base salary plus potential variable compensation or incentive awards.
Health and well-being benefits, savings and retirement programs, paid vacation and holiday time, banking benefits, and discounts.
Training, onboarding, career development conversations, mentoring programs, and access to an online learning platform.
Collaborative, respectful, diverse, and equitable workplace with knowledge-sharing and cross-training opportunities.
Hiring process
Selected candidates will be contacted to schedule an interview.
Training and onboarding sessions are provided.
Application outcomes are communicated by email or phone where possible.
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