Title:  Data Analyst, Finance Projects, APAC Finance

Purpose

Contributes to the overall success of Finance Projects in APAC, ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives.  Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

Accountabilities

• Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
• Support Finance Projects within the domain of Finance change to drive and run various initiatives with a focus on automation, data analytics, process enhancements and system implementation.
• Work with Finance users on the consumption and analytics of data for Regulatory Reporting, MIS Reporting, Regional Transfer Pricing, Payment Processing and other Finance project initiatives.
• Build reports using tools such as Python for data insights, business support & analysis.
• Build and design automated reporting dashboards, reports on visualisation tools such as Power BI.
• Support reporting process enhancements such as building macro reports to eliminate manual workarounds.
• Assist in adhoc data extractions, data analytics, data visualisation and dashboarding requirements.
• Support system testing in the preparation and checking of automated reports, including validation of business requirements, collaborating with Finance, IT and Operations.
• Assist IT and system developers in the validation of ETL, coding, mapping, field attribution and other automated scripting analysis in the development of automated reports.
• Assist in bridging the gap between business needs and data science capabilities – to identify areas of opportunities, leveraging on analytics and digital tools/technology to provide meaningful insights.
• Assist stakeholders in exploratory data gathering and analysis, and building analytical models to make suitable recommendations or provide meaningful insights.
• Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
• Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
• Champions a high performance environment and contributes to an inclusive work environment.

Experience/Other Information

Academic Qualifications:

• Studying for a degree/major in Computer Science/Accounting/Banking and Finance or related technical field

Experience and Skillsets:

• At least 2-3 years’ experience in data science & analytics (preferably in Banking/IT/Finance). Experience within project change will be a plus.
• Highly proficient in advanced data analytics program/software (e.g., SQL, Python, Power BI)
• Skilled and has working experience in building programs, reports, dashboards with Power BI and other tools/technology
• Proficient in Microsoft Office; e.g. Word, PowerPoint and Excel
• Excellent oral/written communication / interpersonal skills
• Team player with a positive and proactive learning attitude