Associate, Big Data Analyst, Consumer Banking Operations, Technology & Operations

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities

• Design and develop data visualization reports/dashboards that gives insights on Turn-Around-Time and Tail? Management. Perform analysis on Service Requests such as Straight Through Processing/Non-Straight Through Processing split and volume distribution by source/channel?.
• Fulfil requests from Ops team in Ops Metrics extraction for process improvement, investigation and performance management, reporting.
• Develop data visualization insights relating to CASA account opening, Giro application, and ATM CSAT.
• Deploy/Decommission QlikView dashboard to/from QMC; Maintain QMC task refresh schedules to ensure dashboards are refreshed according to the required day & time?; Support troubleshooting on dashboard availability in QV access point.
• Perform data profiling and analysis; translate unstructured information into structured information.
• Analyse and perform performance tuning for jobs and Queries.

Requirements

• Bachelor’s degree in Computer Science, Information System, Statistics, Mathematics, or related disciplines.
• 2+ years of work experience ideally with experience in banking or financial industry; preferably in Big Data or in a Business Analyst role.
• Highly proficient in data manipulation.
• Good working knowledge in Big Data, Python, SQL, and dashboard tools like Qlikview, Tableau, etc.
• Good knowledge of AWS cloud computing, parallel data processing, and big data stack, e.g. Spark, Pyspark and Hadoop/Yarn, Kafka, etc is a plus.
• Experience in automated testing and Agile delivery is a plus.
• Be data sensitive with sound presentation skills.
• Possess technical mindset, great attention to detail, independent and a ‘can-do’ attitude.
• A team player with good time-management and leadership skills.
• Good interpersonal and communication skills.
• Ability to work under tight deadline and handle multiple projects.

Apply Now

We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.