Credit Risk & Revenue Optimization Analyst

Olcoms

Dubai

On-site

AED 180,000 - 300,000

Full time

14 days+

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Job summary

Olcoms is seeking Credit Risk Analysts to join our risk management team. You will optimize revenue through model-driven risk management, manage nano-loan portfolios, and develop credit risk models and scorecards.

The role requires strong analytics, ML experience, and proficiency with Python and relational databases. We value a MSc or BSc in relevant fields, demonstrated data analytics capabilities, and the ability to derive actionable risk insights from large datasets in a dynamic fintech

Qualifications

BSc and MSc in Mathematical Sciences, Computer Science or Finance from an accredited institution.
Strong analytical skills.
Evidence of statistical/machine learning models and algorithms development.
Experience in modelling and data analytics with Python.
Experience in Relational Database Systems.
Ability to gain risk insights analyzing large volumes of data.

Responsibilities

Optimize revenues through advanced model-driven risk management.
Manage large portfolios of nano-loans with the use of credit risk models and analytics to optimize profits.
Develop, deploy and operate advanced credit risk models and algorithms.
Design, develop and implement scorecards for nano- and micro-finance.
Analyze large data volumes to identify credit risk factors.
Develop, deploy and operate strategies for credit risk management and revenue optimization.