Manager – Internal Audit, IT, Digital and Data Analytics

Sun Life

1d • Hybrid

About The Position

Reporting to the AVP, Internal Audit Digital team, this individual is responsible for leading the implementation and integration of digital audit methodologies and data analytics techniques within audit processes. This role will play a pivotal part in enhancing the efficiency and effectiveness of auditing procedures by leveraging technological advancements and data-driven insights. The role is a high-visibility and impact role with opportunities to partner with Senior Audit leadership, present to Global Audit teams and connect with analytics networks within Sun Life and in industry.

Requirements

• Strong technology and analytical skills
• 5+ years of Hands-on experience applying analytics (descriptive, diagnostic, predictive) to evaluate controls and business objectives and identify outliers, anomalies, patterns, or other compliance indicators that may be hidden in the data.
• 5+ years experience in Data Science or Machine Learning, with 2+ years experience in the NLP domain developing and productionizing machine learning models validated by reference to GitHub profile showcasing relevant projects.
• 5-7 years of demonstrative experience using programming languages – SQL and Python including python data libraries (NumPy, pandas, matplotlib, scikit-learn), Visualization tools – Power Bi/Tableau and AWS SageMaker.
• Proven track record of developing impactful presentations, visualizations, and dashboards for executives.
• Excellent written and verbal communication skills.
• The ability to work effectively with persons at all levels in the organization and influence management in ambiguous situations.
• Individual Contributor and Hands on with development.
• Flexible to work in late shifts (1pm- 10 pm India time)
• Must be ready to come at least 2 days in office.

Nice To Haves

• Advanced degree in a quantitative discipline such as Data Science/Analytics, AI, Engineering, Operations Research, Computer Science/Engineering, Statistics, Mathematics, or related fields.
• 8+ years progressive financial industry experience
• Practical experience using or implementing Large Language Models (LLMs) in real-world business or analytics use cases

Responsibilities

• Lead the analytical project planning with Audit teams to establish scope, objectives, deliverables and perform data analytics procedures and testing to evaluate controls and business objectives, data collection tasks and generate analytics insights.
• Collaborate with cross-functional teams to identify and implement digital solutions that optimize audit processes and improve overall efficiency.
• Collaborate with IT and Business Unit users to understand data structure, availability, and accessibility.
• Contribute to the development of Internal Audit policies, strategy, and direction; and continually improve audit and supporting processes leveraging technology to the fullest.
• Develop Analytics curriculum and train auditors in SQL, Python and Tableau on basic analytics tasks of descriptive analytics.
• Build and implement Gen AI stack of solutions for Internal Audit use-cases; such as scaling and reuse of LLM-enabled audit assets (e.g., templates, reusable prompts, audit copilot)
• Integrating ML in audit analytics enables detecting anomalies or fraud but also allows auditors to delve deeper into data analysis, providing valuable insights for decision-making processes within organizations.

Benefits

• Hybrid work environment
• Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives
• Flexible Benefits from the day you join to meet the needs of you and your family
• Wellness programs that support the three pillars of your health – mental, physical and financial
• A friendly, collaborative, and inclusive culture
• The opportunity to move along a variety of career paths with amazing networking potential
• An environment of continuous learning and improvement
• Access to our Global Learning Centre, available 24/7 for your learning needs

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1-10 employees