Risk Management Group works closely with our business partners to manage the bank’s risk exposure by balancing its objective to maximise returns against an acceptable risk profile.
We partner with origination teams to provide financing, investments and hedging opportunities to our customers. To manage risk effectively and run a successful business, we invest significantly in our people and infrastructure.
Work with Credit and Business teams to define the problem statement and develop solutions with advanced analytical techniques to address key challenges
Work with data analyst, IT and operations to identify, process and wrangle the data
Design experiments to demonstrate business value of analytics solutions. Including testing the solution with real data and quantify business impact / benefit
Implement successful experiment to production
Create reusable assets and share learning with others
Degree in computer science, statistics, or other quantitative fields with at least 3 years of industry experience developing data science solutions,
or at least 6 years strong industry experience with Degree in Quantitative field.
Must have excellent problem solving skills
Experience in machine learning with excellent data processing and data engineering skills.
Familiar with standards for model development
Have developed and implemented industry machine learning solutions
Highly proficient with programming in SAS or R
Good communication and presentation skill