Senior Quantitative Analyst
BMO U.S.
AWSCloudHadoopPythonSparkSQL
Audit Manager, Data Analytics
BMO U.S.
full-time
Posted on:
Location Type: Office
Location: Chicago • Illinois, Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $74,000 - $138,000 per year
Job Level
Mid-LevelSenior
Tech Stack
PythonSQLTableau
About the role
- Consults on audit analytic solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence testing
- Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions on audit projects
- Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools used across Corporate Audit
- Acts as a trusted advisor to assigned audit groups including Operations, Anti-Money Laundering, Finance and Credit
- Leads the design, development, and implementation of audit analytic solutions
- Identifies emerging issues, risks, and trends to inform decision-making
- Recommends and implements solutions based on analysis of audit controls, issues, and implications on the business
- Ensures alignment between auditors & business partners regarding audit and data needs
- Leads/participates in the design, implementation and management of new analytics & reporting solutions
- Designs, develops, and implements innovative auditor-requested analytical solutions
- Designs and produces regular and ad-hoc reports, and dashboards
- Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations
- Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions)
- Cleanses, manipulates, and transforms data through programming / scripting for model training and validation
- Automates validation tests to improve quality and efficiency of the validation process
- Validates and tests models used in audit analytics and reporting to assess/address performance and compliance
- Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption
- Promotes reporting automation, self-serve audit analytics consumption, and the culture of audit analytics-driven decision making
- Monitors and tracks tool performance, user acceptance testing, and addresses any issues
- Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting
- Designs, develops, and implements innovative analytical solutions
- Designs and produces regular and ad-hoc audit reports, and dashboards
- Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences
Requirements
- Typically between 3-7 years of relevant experience and post-secondary degree in related fields of AML/Regulatory risk and/or analytics
- Knowledge and/or experience in data preparation, data analysis, and statistical tool sets including but not limited to SAS, Power BI, SQL, ACL, R, Python, Spotfire, Tableau, MATLAB, SPSS - In-depth
- 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
Benefits
- Health insurance
- Tuition reimbursement
- Accident and life insurance
- Retirement savings plans
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data preparationdata analysisstatistical analysisdata modelingdata qualitydata visualizationprogrammingdata cleansingdata transformationreport automation
Soft skills
verbal communicationwritten communicationcollaborationteamworkanalytical skillsproblem solvinginfluencedata driven decision making