Credit Risk Analysis

Olcoms; Dubai; On-site; AED 180,000 - 300,000; Full time

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.

Skills

Strong analytical skills

Data analytics

ML model development

Risk insights from large data

Education

BSc in Mathematical Sciences / Computer Science / Finance

MSc in Mathematical Sciences / Computer Science / Finance

Tools

Python

Relational databases

Job description

Credit Risk Analysts are significant contributors of Olcoms advanced risk management, and revenue optimization. They have experience with credit and profit scoring, the development, deployment and operation of credit risk models, and the day-to-day risk management of a large portfolio of loans. They have the capability to optimize revenue through risk management, develop statistical and machine learning algorithms for credit issuance and risk evaluation, conduct risk analytics and analytics in the daily risk management activities of large portfolios of loans.

What Will You Do?

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

What Will You Bring?

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

Hands-on experience at least in one of the following

Experience in modelling and data analytics with Python

Experience in any Relational Database System

Experience in and ability to gain risk insights analyzing large volumes of data

Optional Requirements

Working experience in a related role (e.g. credit risk analyst and/or data scientist)

Hands-on experience of big data processing and analytics

Key Attributes

Strong interpersonal and communication skills

Ability to hit tight deadlines and work under pressure and strict attention to detail

Excellent judgment and problem-solving skills

Desired Experience in Financial Technology

Olcoms is a leading provider in VAS solutions for mobile operators globally with a focus in emerging markets.