Job Description

Must Have Skill:

Data Analyst with Python & R Skills, SQL

Responsibilities

• Working collaboratively in cross-functional Scrum teams with Product, Analytics and BB

Remediation colleagues, you will be responsible for leveraging the Group’s data assets to review

risk issues and support end-to-end remediation of business customers

• Develop analytical solutions using SQL, Python and R to improve risk-based outcomes for

stakeholders

• Undertake and automate data analytics across large datasets to identify customers requiring

remediation and estimate financial impact to these customers

• You will deliver to deadlines by managing multiple priorities in a fast-paced, agile environment

• Develop data solutions to record remediation payment records

• Present analytical insights to stakeholders up to the General Manager level to give advice to our

business partners with data

• Using advanced business acumen, you will translate complex business requirements and

objectives into technical briefings, analytical processes and outcomes which may be subject to

external regulator review

• Support peers with quality assurance (QA) reviews;

• Lead customer projects and initiatives by liaising with analytical and non-analytical business

partners across the department

• Designing & building continuous improvements that optimise the accuracy and effort for

remediations

• and regulatory changes, ensuring compliance with relevant standards

• Foster a positive team culture that encourages innovation, accountability and continuous

improvement

Required experience:

• Must have proven experience working with SQL to extract data from complex datasets.

• Extensive experience in using data driven analytics to develop dashboards, insights and

recommendations;

• Ability to understand complex problems and take a structured approach using data-driven

insights to solve;

• Experience with analytical tools and platforms such as R / Python and/or GitHub is preferred.

• Knowledge and experience in Banking (customers, products, systems, processes) is preferred;

• Experience with Agile tools and methodologies is preferred.

• Degree in relevant discipline (Actuarial, Statistics, Maths, Economics, Engineering or Sciences).