Senior Specialist, Modelling

4 days ago Be among the first 25 applicants Job Requisition ID: 11638 Position Status: Permanent Full Time Position Type: Hybrid Office Location: Calgary (AB); Halifax (NS); Montreal (QC); Ottawa (ON); Toronto (ON); Vancouver (BC) Travel Requirement: Travel not required Language Designation: English Essential Language Skill Levels (Read/Write/Speak): ZZZ Security Requirement: Reliability Status Salary: Our salaries generally range from $ 101639.3 to $ 127049.13 and are based on qualifications and experience. About CMHC The work you do and the work we do together matters. We come to work every day with a common purpose: to contribute to a well‑functioning housing system. At CMHC, we hold ourselves accountable for our results and support our colleagues in their achievements. We thrive on collaboration, connecting across CMHC and involving the right people to get our work done. Our leadership style is guided by trust, where our leaders favour an adaptive approach based on the needs of their teams. Join us and be part of a team that's committed to making a real difference and be part of something meaningful. What’s in it for you Benefits Annual Paid vacation. Annual individual performance incentive. Defined benefit pension plan. Comprehensive group insurance plan to support your well‑being from day one. Support towards your personal and professional growth with training, mentorship and more. An inclusive workplace culture and environment. About The Role Join the Analytics team as a Senior Specialist, Modelling. In this role you will introduce advanced, innovative analytics techniques and model complex problems to inform decision‑making, enhance risk management, and build automated systems. You will integrate and prepare large, varied datasets and communicate these results to various audiences, including senior management. What You’ll Do Model complex analytics problems, discover insights and identify opportunities with advanced statistical and predictive modelling techniques. Explore and implement complex techniques such as natural language processing, text mining, multivariate testing, machine learning and deep learning. Work with the Analytics team to mature the analytics capability by introducing analytic approaches. Lead knowledge‑transfer activities and develop and introduce best practices. Apply advanced statistical and predictive modelling techniques to build, maintain, or enhance analytical solutions. Present, recommend and communicate analytics solutions in an efficient and easily understandable way to a wide variety of audiences, including senior management. Document progress, finalize model build books, share findings through presentations and reports, and apply visualization techniques that can be easily comprehended and simplified for non‑technical stakeholder audiences. What You Should Have A postgraduate degree (Master’s or PhD) in Quantitative Finance, Mathematics, Statistics, Data Science, Actuarial Science, Finance, Economics or another quantitative field or an equivalent combination of education and experience. At least 5 years of relevant experience in data science, modelling or quantitative analytics at a bank, insurance company, asset management or other financial institution. Demonstrated proficiency in Python/R, SQL, and use of a wide range of analytical techniques (e.g. supervised learning, clustering, natural language processing (NLP), time series analysis, A/B testing, regressions, correlations, statistical significance, network/link analysis, sentiment analysis, large language models). Advanced knowledge of industry modelling techniques and best practices for risk analysis, analytics and management. Solid experience manipulating large datasets and using databases; proficiency in query languages such as SQL and Hive. Experience working with Big Data technologies such as Spark, Cassandra, and/or Hadoop. Ability to persuade, influence, and negotiate effectively with colleagues, clients, and senior management while possessing strong analytical skills to research issues, analyze problems, synthesize information, and provide sound recommendations. It Would Be Great If You Also Had A broad understanding of the Canadian housing market including mortgage loan insurance, affordable/social programs, housing finance and socio‑economic indicators. Experience using AI (e.g. generative AI, large language models) for solving problems. Data science certifications (e.g. Applied Artificial Intelligence (AI) and Deep Learning, Microsoft Azure Data Scientist, etc.). Bilingual (English & French). Posting closing date Note, the competition will remain active until filled. Our commitment to diversity, equity, and inclusion We’re committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from non‑Canadians who are eligible to work in Canada. CMHC is an inclusive workplace where diversity of thought – and of people – are recognized, valued, and considered essential to achieving our mission. Learn more about our commitment to diversity and inclusion Explore our diversity and inclusion initiatives. What happens after you apply We know that applying for a new job can be both exciting and daunting, and we appreciate your effort. Learn more about our hiring process. If you are selected for an interview or testing, please advise us if you require an accommodation. If you applied before and you were not successful don’t worry – we’re always posting new positions, so don’t hesitate to give it another shot. We’re excited to see what you bring to the table this time around #J-18808-Ljbffr