Careers / Job Details
Credit Risk Analysis
Credit Risk Analyst
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
Quantitative Risk Analysis
Credit Risk Management
Portfolio Optimization
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
Creative skills
Programming skills
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