Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Supports and redesigns credit risk data and reporting processes for risk management, utilizing data analysis and automation tools.

Key Responsibilities

Design and automate credit risk reports
Develop ETL processes
Conduct data research
Partner with risk managers
Maintain data accuracy

Technical Overview

Uses SQL, Python, Power BI, Power Automate to extract, transform, and analyze credit risk data, creating dashboards and automating reports.

Ideal Candidate

The ideal candidate is a mid-level data scientist with experience in credit risk, proficient in SQL and Python, and skilled in data reporting tools like Power BI. They should be capable of transforming and analyzing large datasets to support risk management.

Must-Have Skills

SQLPythonPower BIPower Automate

Nice-to-Have Skills

ETL processesData researchDatabase queries

Tools & Platforms

Microsoft Power BIMicrosoft Power AutomateSQL

Required Skills

SQLPythonPower BIPower AutomateETL processesData researchDatabase queries

Hard Skills

SQLStructured Query LanguagePythonPower BIPower AutomateMicrosoft Power PlatformETL processesData researchDatabase queries

Soft Skills

CommunicationCollaborationProblem-solvingEfficiencyAttention to detail

Industry & Role

Industry Banking

Job Function Data analysis and reporting for credit risk management

Role Subtype Data Scientist

Tech Domains SQL / PostgreSQL, Python, Power BI, Power Automate, Data & Analytics

Keywords for Your Resume

Credit Risk Data ScientistSQLPythonPower BIPower AutomateETL processesData researchDatabase queriesData & AnalyticsRisk managementBankingData reportingData transformationData integrationData analysis

Deal Breakers

Lack of experience with SQL or Python, No experience in credit risk or banking, Inability to work with Power BI or Power Automate

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