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Collection Analyst
3 weeks ago
Overview:
Collection Analyst role involves the person to design and develop cutting-edge data-driven solutions by performing analysis and translating business and functional requirements into business performance. This role will require critical thinking and analytical skills to support delivery on strategic initiatives and analytics projects. This will include working with the Risk, Collection and Business teams on critical tasks including data gathering, data analysis, KPI identification and Collection report design, segmentation. UAT/UVT of the data pipeline to establish the accuracy and usability of the data marts. Overall responsible to define and process key risk information required by management, and to prepare collection reports needed by Management and collection team.
Roles & Responsibilities:
Develop and perform collection reporting, including standard reporting, customized reports, other analytics.
Ensure data integrity & management in support of the Data team for collection analytics and reports.
Conduct recurrent and ad-hoc analysis and segmentations for optimal measures to be taken in each category.
Work in close cooperation with other units within Risk Management, IT, Operations, Products, in order to monitor and ensure relevant, efficient and accurate processing of credit risk related analytics.
Ensure Data Quality compliance, by performing reconciliations across systems, instruct data corrections and follow up on resolution.
Consult with partners to develop metrics and reporting solutions that measure key inputs, outputs, and productivity.
Other accountabilities, specific tasks delegated as justified by business/Analytics needs.
Qualifications and Skills:
Educational qualification – Bachelors / Master in STEM (science, technology, engineering, and mathematics) from any reputed institute
At least 2+ years of hands-on experience in BFSI.
Demonstrated analytical skills to work through complex problems, manipulate and analyse large data sets, and produce actionable business insights
Proficiency in extracting and manipulating data using SAS, Python, PySpark, R, SQL, PostgreSQL with a strong focus on data integrity and accuracy, Excel for ad hoc data analysis, visualization.
Working experience in AWS environment for data access and analysis
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies, techniques, and digital banking.
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