Job Description

Application Deadline: 09/28/2023

Address: 100 King Street West

Job Family Group: Data Analytics & Reporting

The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and 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.

• Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
• Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
• Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
• Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
• Communicate with model validation to ensure successful validation of the developed methodologies.
• Monitors and tracks developed and future model performance, and address any potential issues
• Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
• Help with routine processes such as stress testing model runs and annual model reviews.
• Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.

Qualifications

• Master\xe2\x80\x99s degree in a quantitative field (Statistics, Mathematics, Engineering, Economics, Mathematical Finance) and/or combination of quantitative and business degrees required, Ph.D. preferred
• 3+ years of strong hands-on computational development skills, particularly statistical and database modeling tools (SAS, R, SQL, Python, Hadoop, Access/VBA etc.), ability to adapt to various programming languages and environments.
• Strong data analysis skills, and able to deal with large data sets to extract relevant information.
• Effective presentation and communication skills; Ability to convey complex concepts and outcomes to non-subject matter experts.
• Proficiency with statistical/econometric modeling techniques
• Experience with Machine Learning and Artificial Intelligence techniques is preferred

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.

• Acts as a trusted advisor to assigned business/group.
• Influences and negotiates to achieve business objectives.
• Recommends and implements solutions based on analysis of issues and implications for the business.
• Assists in the development of strategic plans.
• Identifies emerging issues and trends to inform decision-making.
• Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
• Builds effective relationships with internal/external stakeholders and ensures alignment.
• Supports data collection, integration, and retention requirements for data.
• Develops experimental design approaches to validate findings or test hypotheses.
• Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
• Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
• Applies innovative and best practices to advanced analytics services to ensure high quality standards.
• Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
• 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.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications: * Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
• 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).
• Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Deep knowledge and technical proficiency gained through extensive education and 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\xe2\x80\x99re here to help

At BMO 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 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 \xe2\x80\x93 for yourself and our customers. We\xe2\x80\x99ll 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\xe2\x80\x99ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other\xe2\x80\x99s differences, we gain strength through our people and our perspectives. 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 does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO 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.

BMO Financial Group