Please help me tailor my resume for this job:

As the Senior Portfolio Risk Specialist, Risk Analytics, you will be leading risk data management to support risk analytics, providing support on developing and producing portfolio risk dashboards and other regular reports to monitor Retail Lending portfolio performance and provide insights for senior management to make decisions. As part of Portfolio Monitoring team, this position will also be involved in in-depth analysis on credit losses and delinquency based on large amount of data from a variety of data sources to understand risk trend and generate insights.
At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. 
How You’ll Succeed
Risk Data Management – You will maintain and enhance risk data process to support risk analytics with accuracy and efficiency. You will investigate and communicate data issues, and serve as SME in risk data. You will be leading data control implementation for strong data control environment.
Risk Analysis – With good understanding of Retail risk portfolio and associated risk data you will translate complex portfolio performance questions to analysis design to derive actionable information from large number of data. You work with Account Management and Acquisition teams to provide portfolio impact analysis of risk strategy changes. optimization.
Reporting – You will prioritize work items to make sure reports/analyses are delivered on time. You will use tools such as SAS EG and MS Office to prepare risk dashboards and other reports and perform analyses to monitor portfolio performance and develop insights.  You will work closely with Finance and Collection to validate credit loss numbers and understand impact of their operation on portfolio performance.
Communication with Business Acumen – You understand our clients and keep up to date on  retail lending products , processes, data sources, and overall Canadian economy to understand the impact on portfolio performance.  You will develop presentation to communicate portfolio insights with business language.
Who You Are
You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
You are experienced in programming with SAS.  You are comfortable to develop efficient  SQL to prepare data from different data sources to support complext risk analytics. You have good understanding of mathematical or statistical analysis software tools (SAS preferred), database management, and advanced skills in Microsoft Excel.
You understand project management. You are comfortable with developing project plan to address complex business requirements and leading projects by managing resources and priorities.
It is an asset if you have undergraduate degree in quantitative areas such as mathematics, statistics, physics, economics, or another applicable discipline.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

Resume:

Suummary
Results-driven analyst with a strong background in optimizing processes and making data-driven decisions
Skills: Python, R, SQL, Microsoft Office (Excel, Word, PowerPoint, Visio), Tableau, Power BI, Jira, Confluence

Experience
Royal Ontario Museum | ERP Analyst                                                                                July 2024 – August 2024
Assisted with ERP data migration from Sage 300 to Microsoft Dynamics with no data loss by meticulously planning and aligning the process with the museum's strategic goals
Increased efficiency in review and checking processes by 75% through developing a Python program to automate the extraction and summary of data from multiple PDF files

CIBC | Business Systems Analyst                                                                                     January 2023 – April 2023
Improved product enhancement visibility by 25% and expedited employee onboarding by 50% through developing a SharePoint site to optimize training processes and streamline application management
Ensured on-time delivery of two high-impact, multi-million-dollar product initiatives by coordinating project timelines and achieving key milestones through proactive risk mitigation and stakeholder collaboration
Supported data-driven financial decision-making by ensuring 99% accuracy during a critical data migration through comprehensive data analysis on over 100,000 data entries using MS Excel

Appnovation, Tech Consulting | Go-To-Market Coordinator                                    August 2022 – December 2022
Drove a 30% sales increase by spearheading the development of 10+ winning sales proposals in Salesforce, establishing a reputation for compelling, on-brand client submissions
Maintained on-time and on-budget delivery of 4 client projects while ensuring seamless client collaboration by managing projects in Jira and applying agile methodologies
Boosted sales team engagement by 30% and supported the acquisition of a high-value client by conducting in-depth market research on cutting-edge technology and delivering data-driven insights

UofT University Advancement | Data Analyst                                                                   May 2022 – August 2022
Reduced donor record errors by 99% and improved process efficiency by 75% by architecting a Python program to automate data quality checks
Increased campaign effectiveness by 20% and boosted donor engagement by 15% through leveraging SQL and Power BI to analyze donor data and develop targeted fundraising strategies

UofT Innovation Hub | Design Researcher                                                              September 2021 – March 2022
Developed student-centered solutions by identifying key pain points through conducting 4 comprehensive interviews using data coding and tagging techniques and Design Thinking principles

Projects
Obesity Prevalence Data Analysis
Analyzed a CDC public health dataset (400,000+ records) using R to uncover key lifestyle factors influencing obesity prevalence across demographics, providing actionable insights for health initiatives
Developed and validated a high-performing obesity prevalence model, employing advanced statistical techniques and created impactful visualizations for a comprehensive report to diverse stakeholders

Apple Wallet Student Card
Designed and implemented a digital student ID solution for Apple Wallet using Swift and Apple PassKit

Education
University of Toronto | Honours Bachelor of Science in Statistics and Economics                                  May 2024
Coursework: Machine Learning, Data Analysis, Survival Analysis