Audit Data Analytics Specialist
5 months ago
Job Description
- Job Posting - Audit Data Analytics Specialist
- This is a hybrid role with a mix of remote and in-office working_
At Fidelity, we’ve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and we’re constantly seeking to find new and better ways to help our clients. As a privately owned company, we boldly embrace innovation in all areas as we continue to grow our business into the future.
Working with us means you’ll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You’ll have a wide range of opportunities to grow and develop your career in an inclusive environment where you’ll feel valued and supported to be your best - both personally and professionally.
Business Overview:
Fidelity Canada Internal Audit provides independent and objective assurance and advisory services in alignment to the organizational strategy and vision that help Fidelity Canada manage risk, improve customer service, enhance overall organizational value and business performance, and promote a risk culture of proactive enterprise risk management. This mission is accomplished through assessing the adequacy and effectiveness of controls, compliance, risk management and governance processes; reporting on issues and solutions that improve Fidelity Canada’s control environment; promoting best practices, continuous enhancements and improvement of financial, operational controls, processes, and system capabilities; and responding to change with a sense of urgency through continuous risk assessment and resource allocation.
How You'll Make an Impact:
Work alongside other business and technology auditors to deliver “integrated” audits by fully integrating and embedding data analytics into internal audit activities:
- Provide architecture and design expertise and oversight to audit data projects.
- Engage with IT and business partners to understand data structure, availability, and accessibility, and build a foundational knowledgebase around businesses, systems, contacts, and data sources for future efforts.
- Participate in walkthroughs to understand business requirements and identify and acquire the necessary data required to meet audit use case objectives.
- Develop data analytics and models within tools such as Knime Analytics Platform, JIRA, and perform audit testing and data mining procedures by organizing and analyzing large volume of data to evaluate controls, identify anomalies, outliers, patterns, and trends and generate actionable data-driven insights.
- Leverage applied understanding of programming languages (e.g., (SQL, Python, JavaScript, R, SAS), stats, machine learning, data visualization, exploratory data analysis, predictive modeling, ML Ops to uncover gaps in control objectives and enhanced risk assurance.
- Collaborate with Business Analytics, MLOps Engineers, Data Privacy and other stakeholders to ensure any proprietary model developments deployed to production adhere to enterprise policies and requirements with regards to model development, documentation, deployment and monitoring best practices.
- Document audit testing procedures and audit results using best practices by organizing and forming conclusions based on the outcome of the testing.
Monitor and maintain an effective system of data analytics and models to provide insight into risks and control and support internal audit’s processes and activities:
- Gain the necessary access to develop and maintain robust data pipelines.
- Utilize programming skills (Python, SQL) to query, extract and manipulate data from various databases to support repeatable and automation of data analytics to execute assurance and advisory engagements, and continuous monitoring risk assessments.
- Continuously monitor and fine tune model performance by evaluating new or revised data sources, modelling techniques, and tools, and look for ways to further automate analysis of vast datasets to support and promote data-driven audits.
- Troubleshoot and debug technical issues promptly to maintain the reliability of analytics and tools build.
- Plan, lead and develop proof of concept solutions on Audit Process Automation, Continuous Auditing and Monitoring, and other projects enabling audit digitization.
- Partner with other audit team members to identify opportunities to improve audit processes via AI/ML, automation pipelines and analytics.
- Build and manage Power App & Power Automate solutions within the Power Platform Environment.
Enhance visualization and incorporate relevant Data Profiling in departmental and audit projects reporting:
- Generate reports or data extracts to support audit planning and analysis.
- Present technical analyses and emerging / thematic risks in a meaningful and intuitive manner using digitalization and data visualization (e.g., Microsoft
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