11 дней назад
Advisor, Analytics Consulting (Credit Risk)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Advisor, Analytics Consulting (Credit Risk): Leading end-to-end analytics consulting engagements for Canadian consumer lending and credit risk clients with an accent on predictive modeling, business intelligence, and custom analytical solutions. Focus on translating credit bureau data into executive recommendations, validating advanced statistical and machine learning models, and delivering measurable client outcomes.
Location: Burlington, Canada; hybrid work with in-person attendance at an assigned office at least two days per week
Company
provides credit data, analytics, and technology solutions that help organizations make better risk and business decisions.
What you will do
- Lead analytics consulting engagements from requirements gathering and solution design through data extraction, modeling, validation, insight generation, and executive presentation.
- Deliver custom scorecards, predictive models, benchmarking studies, aggregate data solutions, reject inference analyses, lost sales analyses, and retained analytics programs.
- Translate complex analytical findings into client recommendations, business outcomes, and revenue opportunities.
- Partner with Sales, Solution Consultants, DSA analysts, Product, Legal, Compliance, Finance, and Technology teams.
- Apply segmentation, portfolio analytics, predictive modeling, statistical analysis, scenario development, simulation, and advanced machine learning.
- Manage project plans, ensure delivery quality and compliance, and contribute to scalable consulting methods and new analytics offerings.
Requirements
- Bachelor's degree or equivalent experience in Statistics, Mathematics, Economics, Engineering, Finance, Data Science, or a related quantitative field.
- 8+ years of analytics experience in financial services, risk management, or related industries, including 5+ years leading client-facing analytics engagements.
- 3+ years of direct experience with credit bureau data, products, and analytics solutions.
- Advanced programming and analytical capabilities with R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud platforms.
- Experience developing and validating predictive models, including logistic regression, decision trees, XGBoost, and other statistical or machine learning methods.
- Strong consulting, project management, stakeholder management, communication, and executive presentation skills.
Nice to have
- Master's degree or PhD in a quantitative field.
- Bilingual English/French communication skills to support client engagements across Canada.
- Experience with data assets, products, or services.
Culture & Benefits
- Work/life flexibility and resources supporting professional and personal development.
- Collaborative work with teams across the globe.
- Accommodation is available for applicants with disabilities in accordance with applicable laws.
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