Application Deadline: 04/20/2023 Address: 111 W Monroe - 115 S LaSalle Job Family Group: Data Analytics & Reporting The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies. The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution. New grads with demonstrable problem solving and critical thinking skills will be considered. Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO. Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs. Provides advice and guidance to assigned business/group on implementation of analytical solutions. Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions. Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs. Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions). Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses. Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action. Documents data flow, systems and processes in data collection to improve efficiency and apply use cases. Performs experimental design approaches to validate finding or test hypotheses. Uses the appropriate algorithms to discover patterns. Builds effective relationships with internal/external stakeholders and ensures alignment. Supports development of tools and delivers training for data analytics and AI. Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders. Leads/participates in the design, implementation and management of core business/group processes. Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations. Broader work or accountabilities may be assigned as needed. Qualifications: Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. Knowledge of visualization techniques and concepts. Knowledge of distributed computing and/or distributed databases. Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML). Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML). Experience in statistical analysis, data mining, and data cleansing / transformation. Technical proficiency gained through education and/or business experience. Verbal & written communication skills - In-depth. Collaboration & team skills - In-depth. Analytical and problem solving skills - In-depth. Influence skills - In-depth. Data driven decision making - In-depth. We're here to help At BMO Harris Bank we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO Harris Bank team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmoharris.com . BMO Harris Bank is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. BMO Harris Bank N.A. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO Harris Bank does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO Harris Bank, directly or indirectly, will be considered BMO Harris Bank property. BMO Harris Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.