Senior Business Insights Analyst

at  TD Bank

QUALIFICATIONS

• Strong ownership mentality, proactive attitude, and ability to get things done
• Demonstrated passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
• Strong problem-solving skills, with a history of using data to understand not only what is happening, but why it is happening, and what can be done to resolve the issue
• Ability to use predictive analytics, customer segmentation, and sensitivity analysis to develop detailed business cases and explain business value of projects
• Ability to translate complex problems and solutions into a simple story, tailored to executive audiences
• Excellent interpersonal and communication skills, both written and verbal
• Demonstrated ability to learn and apply new analytical techniques and adapting to the evolution within the financial services industry
• Understanding of products and strategies to challenge business cases and analyses
• Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
• Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
• Strong understanding of test and experimental design (Test and Learn)
• Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally

TECHNICAL EXPERIENCE:

• 4-6 years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
• Demonstrated knowledge of analytical tools such as, Python and SQL
• Broader knowledge of other analytical tools are considered an asset such as PySpark, Databricks environment(s), and SAS
• Demonstrated knowledge in some of the following areas:
• Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
• Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
• Data visualization and storytelling in Tableau
• Operational process excellence
• Educational Requirements/Accreditations:
• Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience
• roducts and strategies to challenge business cases and analyses
• Capable of working in and across teams, leading partners and aligning leadership – including proven teamwork and ability to build deep relationships with diverse business partners
• Strong organizational skills, with the ability to excel in a fast-paced environment and run multiple deadlines and priorities
• Strong understanding of test and experimental design (Test and Learn)
• Aspirations to build in-depth industry knowledge, including current big data trends and challenges globally

TECHNICAL EXPERIENCE:

• 4-6 years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
• Demonstrated knowledge of analytical tools such as, Python and SQL
• Broader knowledge of other analytical tools are considered an asset such as PySpark, Databricks environment(s), and SAS
• Demonstrated knowledge in some of the following areas:
• Statistical modeling (OLS regressions, hypothesis testing, logistic regression etc.)
• Ensemble models (Random Forest, Gradient Boosting trees, Bayesian Inference etc.)
• Data visualization and storytelling in Tableau
• Operational process excellence
• Educational Requirements/Accreditations:
• Advanced university degree in Statistics, Mathematics, Engineering, Economics, or other analytically based discipline, preferably at a bachelor’s degree or above or equivalent work experience

THE SENIOR ANALYST, ANALYTICS AND INSIGHTS, FINANCIAL CRIMES WILL USE AN ANALYTICS-FOCUSED APPROACH TO UPLIFT THE BANK’S FINANCIAL CRIME MITIGATION, DETECTION, AND INVESTIGATION PROGRAMS, SUCH AS FRAUD AND ANTI-MONEY LAUNDERING (AML). THE ROLE’S IMMEDIATE FOCUS IS ON THREE KEY AREAS:

• Strengthening channel detection and improving the efficiencies of cross account connectivity.
• Support business intelligence and report development to ensure the business has insights into the performance of the Financial Crime programs.
• Refining and improving operational processes to uplift program maturation.
• Create Financial Crime mitigation strategies based on advanced analytics approaches
• Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
• Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
• Present insights back to leaders and business partners to drive strategic improvement
• Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
• Collaborate with business partners to shape and prioritize ad hoc analysis
• Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
• Create the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources