Advisor, Analytics Consulting

** Team Overview
** As an Advisor, Analytics Consulting, you will serve as the primary delivery lead for client-contracted analytics consulting engagements focused on credit risk management and business intelligence.
You will be responsible for delivering customized analytical solutions that help clients make better risk decisions, improve business performance, and maximize the value of Trans Union data and analytics assets.  You will lead engagements across the full analytics lifecycle, including requirements gathering, analytical design, data extraction, modeling, validation, insight generation, and executive presentation. Working closely with clients, Sales teams, Solution Consultants, and DSA analysts, you will translate complex business challenges into impactful analytical solutions that drive measurable client value and revenue growth.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.  
** Role Overview And Core Responsibilities**
* ** Lead end-to-end execution of analytics consulting engagements, including:
** o    Requirements gathering and business problem definitiono    Analytical design and solution developmento    Data extraction, transformation, and quality assuranceo    Statistical analysis, modeling, and benchmarkingo    Insight development and client presentation
* ** Deliver analytics consulting products such as:
** o    Custom scorecard and model developmento    Market trends and benchmarking studieso    Innovation Lab engagement so    Retained analytics programso    Custom aggregate data solution so    Reject inference and lost sales analyseso    Other custom analytical engagements aligned to client needs  
* Serve as the primary DSA lead for opportunities initiated through the established sales and engagement process.
* Support proposal development, discovery activities, and analytics requirements definition in partnership with Sales and Solution Consultants.
* Collaborate with DSA analysts to ensure scalable, high-quality delivery while providing technical guidance and oversight.
* Translate analytical findings into clear, client-relevant recommendations and revenue-oriented business outcomes.
* Partner with Sales and Solution Consultants to identify new analytics opportunities and expand client adoption of analytics consulting services.
* ** Apply advanced analytical techniques including:
** o    Segmentation and portfolio analyticso    Predictive modelingo    Statistical analysiso    Scenario development and simulationo    Advanced machine learning methodologies  
* Develop and maintain project plans to ensure engagements are completed on time, within scope, and aligned to client expectations.
* Present analytical findings and recommendations to clients, business leaders, and executive stakeholders.
* Ensure compliance with applicable regulatory, governance, privacy, and model risk management requirements.
* Contribute to the evolution of the analytics consulting function by helping define scalable engagement models, delivery best practices, and new analytics offerings.
* Perform other related responsibilities as assigned.  
** Required Knowledge And Experiences
*** Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Finance, Data Science, or a related quantitative field, or equivalent experience.
* Master's degree or PhD is preferred.
* Strong understanding of Canadian consumer lending, credit risk management, and business intelligence practices.
* 8+ years of analytics experience within financial services, risk management, or related industries.
* 5+ years of experience leading client-facing analytics engagements and delivering business-focused analytical solutions.
* 3+ years of direct experience working with credit bureau data, products, and analytics solutions. Prior experience with Trans Union data assets, products, or services is highly preferred.
* Bilingual (English/French) communication skills strongly preferred to support client engagements across Canada.
* Advanced analytical and programming capabilities using R, SAS, SQL, Python, and big data technologies such as Hive, Spark, Hadoop, or cloud-based platforms.
* Experience developing and validating predictive models, including logistic regression, decision trees, XGBoost, and other statistical or machine learning techniques.
* Proven ability to translate complex analytical findings into actionable business insights…