Apply NowLocations: Sydney, New South WalesJob Function: Decision ManagementEmployee Status: Fixed Term (Fixed Term)Job ID: 19144974
We have an exciting new fixed term contract for 15 months in our Consumer Bank.
The Senior Analyst - Data Science is a key role to expand data science capabilities for credit cards, consumer lending and retail banking portfolios to provide insights, actionable intelligence and recommendations to business verticals at strategic and tactical level across customer life cycle right from acquisition, growth (cross-sell/ up-sell) to retention/ win-back.
This involves developing segmentation and predictive models that will help the Consumer Bank establish longstanding relationships with customers by offering the right product to the right customer when they need and how they need. This can be achieved by refining the customer targeting process resulting in enhanced return on marketing dollars invested both at tactical and strategic level.
Identify the opportunities for New to Bank/ New to Product acquisitions
Activation during early engagement phase to improve usage
Integrate offline analytics into digital acquisition for focused targeting
Leverage analytics and insights into social media, CBOL content customization
Understand and improve engagement on the overall product and online usage
Increase the breadth and depth of customer relationship with the bank – cross-sell / up-sell by building and leveraging predictive models, customer segmentation etc
Leverage 2nd party and 3rd party data elements that aid in acquisition and effective portfolio management by extending the right offers and enhance customer experience through augmented knowledge
Insights based effective Portfolio Management to enhance spends and relevance of offers
Ability to extend the analysis for campaign deep dives when required
A degree in Business/ Finance/ Commerce/ Econometrics/ Mathematics/ Statistics or any other quantitative discipline
At least 7+ years analytics experience in financial services, banking, insurance, consulting or relative domain
Prior work experience in handling high volume databases preferably in a data warehouse environment;
Prior work experience on SAS at advance levels is a must; work experience in Python is required
High levels of competency in Excel, Access, Word and PowerPoint
Experience in R, PySpark and Excel VBA will add value
Understanding of site catalyst, DMP etc and ability to leverage analytics in social and digital platforms will be an added advantage
Experience in distributed computing environments like big data preferably Hadoop is required
Experience and knowledge on financial services industry is a plus
Ability to multi-task across projects and should be able to work independently
Cohesively work with other team members in a team environment
Ability to work under demanding timelines, attention to detail and produce error free results
When you work at Citi, you will be working for an organisation that truly has a global footprint and a powerful network that spans the globe. We celebrate individual ingenuity and use the diversity of our people in order to drive high performance. Through dedicated support, training and resources, we promote our talent and future leaders to bring about lasting and positive impact. Citi Australia is an Employer of Choice for Women and supports a flexible work environment.
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