6 дней назад
Sr Consultant, Analytics Consulting (Credit Risk)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Consultant, Analytics Consulting (Credit Risk): Leading end-to-end analytics consulting engagements for credit risk management and business intelligence with an accent on predictive modeling, statistical analysis, client delivery, and executive communication. Focus on designing custom scorecards and models, translating complex findings into business recommendations, and managing complex engagements from data extraction through presentation.
Location: Burlington, Canada; hybrid, with in-person work at an assigned office at least two days per week
Company
provides credit data, analytics, and technology solutions that support risk decisions and business performance.
What you will do
- Lead analytics consulting engagements from requirements gathering and solution design through data extraction, modeling, validation, insights, and client presentation.
- Deliver custom scorecards, predictive models, benchmarking studies, retained analytics programs, aggregate data solutions, reject inference, and lost sales analyses.
- Translate analytical findings into client recommendations, measurable business outcomes, and revenue opportunities.
- Partner with Sales, Solution Consultants, and DSA analysts on proposals, discovery, requirements definition, and scalable delivery.
- Manage multiple complex projects, maintain project plans, and ensure delivery meets scope, timelines, governance, privacy, and model risk requirements.
- Present findings to clients, business leaders, and executive stakeholders while helping evolve consulting offerings and delivery practices.
Requirements
- Bachelor’s degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Finance, or Data Science; a master’s degree or PhD is preferred.
- 5+ years of analytics experience in financial services, risk management, or a related industry, including 3+ years leading client-facing engagements.
- Strong knowledge of Canadian consumer lending, credit risk management, business intelligence, credit bureau data, and custom analytics solutions.
- Advanced programming and analytical skills in R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud platforms.
- Experience with predictive model development and validation, including logistic regression, decision trees, XGBoost, statistical analysis, and machine learning.
- Strong consulting, project management, communication, executive presentation, stakeholder management, mentoring, and business storytelling skills.
Culture & Benefits
- Hybrid work with regular virtual and in-person collaboration from the assigned office.
- Work/life flexibility and resources supporting professional and personal well-being.
- Opportunities for professional development, innovation, and contribution to community-focused initiatives.
- Accommodation is available for applicants with disabilities in accordance with applicable laws.
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