Data Analyst -Credit Risk

Role purpose:

A person adept with data analysis techniques is required for the job. The role requires the candidate to handle large datasets and abilities to perform data modelling, validation, and statistical analyses on them using various data analysis tools. The incumbent is expected to drive project deliveries along with managing team of data professionals while liaising with business stakeholders at the same time.

Principal Accountabilities and Responsibilities

Ability to convert business problem to an analytical problem and then finding pertinent solutions
Overall business understanding of BFSI domain
Providing high-quality analysis and recommendations to business problems.
Efficient project management and delivery
Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making
Focus on driving efficiency gains and enhancement of processes.
Use of data to improve customer outcomes through the provision of insight and challenge
Also drive business benefit through self-initiated projects

Leadership & Teamwork
The person is expected to have good attitude of a team player, working with a mixed cultural team across the globe.
The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc.
The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary
Working with an Agile mindset, using regular project management tools like Jira, Confluence, GitHub etc. to share updates and remaining on top of the work
One must display good stakeholder management and collaboration skills
Complete adherence to overall Management of Risk/Internal Controls/Compliance for self and the team
Functional Knowledge
Python
SQL
SAS
Excel
Pyspark
Prior project management experience with knowledge of Agile methodology and exposure to project management tools like Jira, Confluence, GITHUB
Exposure to .Credit Risk / Credit Risk Management framework.
Exposure to Bigdata and Hadoop data lake is a big plus
Knowledge of cloud platforms like GCP, Azure, AWS is a big plus
Expertise in visualization tools like Qliksense, Tableau, Power BI is good to have