Risk Analyst (Portfolio Analytics & Modeling)

Tabby; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading company in the fintech sector is seeking a Data Analyst to join their Portfolio Analytics and Modeling team. The role involves analyzing financial data, developing reports, and providing insights to support business decisions. Candidates should have a strong background in data analytics, technical skills in SQL and Python, and a relevant degree. This position offers an opportunity to contribute to risk modeling and process optimization in a dynamic environment.

Qualifications

• Minimum 2 years of relevant experience in data analytics or risk analytics.
• Strong analytical and data capabilities with technical coding skills.
• Excellent command of English with strong communication skills.

Responsibilities

• Analyze customers and merchants financial data for actionable insights.
• Develop reports and dashboards for internal and external reporting.
• Ensure accuracy and consistency of data across multiple sources.

Skills

Analytical skills

Data analysis

Technical coding

Statistical analysis

Communication

Education

Bachelor's or Master's in Computer Science, Computer Engineering, Economics, Statistics or actuarial science

Tools

SQL

Python

Excel

Tableau

Power BI

Job description

You'll be joining our growing Portfolio Analytics and Modeling team, which is responsible for Credit Risk Reporting & Modeling. 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.

Key Responsibilities

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.

Skills, Knowledge & Expertise

Bachelor's or Master's in Computer Science, Computer Engineering, Economics, Statistics or actuarial science.

Minimum 2 years 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 and forecasting techniques.

Basic understanding of IFRS9 credit risk modelling requirements and financial concepts

Experience with visualisation tools, i.e., Tableau and 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

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