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Analyst, Credit Decision Engine

Location Singapore, Singapore
Posted 14-September-2021
Description
Candidate should be hands on with decisioning tools (such as Power Curve, Strategy One), analytics, data management, simple statistical and econometric modelling and SQL ETL tasks.


Working in close coordination with Regional Data and Analytics team in Singapore and Credit Risk team as well as Regional Collections to build and deploy credit/collection decision journeys into production for the lending business in Grab.


Strong grasp of Java and Java based software.


Key day to day tasks:

Work on/with Decision Engine software e.g. Experians Power Curve (Credit Decision) and Strategy One (Collections) to build and deploy decision strategies for the lending business.


Support the Decision Engine Manager in the implementation of new projects in key markets as well as change requests.


Perform maintenance of the policy rules in the software and the optimization of business strategies.


Collaborate with engineering and product to help in software integration in a joint team effort


Work with Credit Risk and Data Science team to be the bridge in terms of deploying ever evolving credit decision strategies into production


Work with data scientists, technology teams and other functions to deep dive on data solutions and prioritize business and information needs


Assist data science teams in developing tools, metrics, and systems to analyze large-scale internal and external datasets to identify opportunities to improve solutions efficiency, accuracy for a more targeted product offering.


Test for incoming data quality (exploratory data analysis) and build and execute UAT test cases at the point of deployment of analytics models


UAT of decision strategies before production.


The must haves:

A Bachelors/Masters degree, preferably in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering


3-4 years relevant work experience in Credit Decisioning software, Credit Solutions, project management


Expert in SQL/Presto, strong JAVA skills


Proficient with working on Big databases


Proficient in Excel and PPT


Strong analytical skills with the ability to collect, organize and analyse significant amount of information with attention to detail and accuracy


Knowledge of data models, data mining and segmentation techniques


Self-motivated and independent learner


Detail-oriented and self-driven individual who thrives in a dynamic working environment


Good in business communication
Experience
Min 3 to 4 Years.

 
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