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Experience
3 - 8 Years
Education
Bachelor of Science(Computers), Master of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
You'll be joining our growing Portfolio Analytics and Modeling team which is responsible for Credit Risk Modeling and Financial/Strategic analytics. You'll be responsible for analyzing data, creating reports, and developing data-driven insights to support business decision-making. You will work closely with stakeholders to gather requirements and deliver comprehensive reports and dashboards using various programming and data analysis techniques.
- Analyze customers and merchants financial data to derive actionable insights
- Develop reports and dashboards to support various reporting lines (external & internal reporting)
- Ensure the accuracy and consistency of data across multiple sources for reconciliation; identifying and resolving discrepancies, ensuring the integrity of data, and providing reliable insights to support decision-making processes
- Investigate and analyze the underlying causes of data discrepancies, collaborating with relevant stakeholders to resolve issues and prevent future occurrences.
- Engage in risk/finance analytics and ad-hoc inquiries
- Participate in designing and enhancing various risk/finance processes
- Develop and maintain ECL calculations models including but not limited to: PD, LGD, EAD under IFRS-9 guidelines
- Perform initial validation of risk models to ensure compliance with IFRS 9 standards.
- Collaborate with cross-functional teams to provide data-driven insights for product launches and operational improvements.
- Optimize existing processes through automation and policy development.
- Bachelor s or Master s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
- 3+ year of relevant experience at a bank or Fintech in a data analytics team or Risk analytics team
- Strong analytical and data capabilities, backed up by technical coding skills.
- Proficiency in SQL, Python and Excel is a must.
- Strong understanding of statistical analysis, forecasting techniques and machine learning algorithms
- Basic understanding of IFRS9 credit risk modeling requirements and financial concepts
- Experience with visualization tools: i.e. Tableau, Power BI.
- Excellent command of English
- Excellent written and verbal communication skills
- Ability to effectively present complex data and findings in a clear and concise manner
Desired Candidate Profile
Bachelor s or Master s degree in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.
- 3+ year of relevant experience at a bank or Fintech in a data analytics team or Risk analytics team
- Strong analytical and data capabilities, backed up by technical coding skills.
- Proficiency in SQL, Python and Excel is a must.
- Strong understanding of statistical analysis, forecasting techniques and machine learning algorithms
- Basic understanding of IFRS9 credit risk modeling requirements and financial concepts
- Experience with visualization tools: i.e. Tableau, Power BI.
- Excellent command of English
- Excellent written and verbal communication skills
- Ability to effectively present complex data and findings in a clear and concise manner
Company Industry
- Banking
- Financial Services
- Broking
Department / Functional Area
- IT Software
Keywords
- Senior Data Analyst (Portfolio Analytics & Modeling)
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