Data Scientist

Company Description

MicroAnalytics is a leading fintech specializing in analytics and credit risk management. We connect financial institutions and telecommunications operators to foster financial inclusion through innovative, data-driven solutions. We leverage alternative data from telecom operators to create a comprehensive and continuous customer profile, predict risk levels in real time, optimize limit management, and provide optimal recommendations.

Agile, flexible, and innovative, MicroAnalytics is dedicated to delivering exceptional value and empowering financial institutions to optimize their credit performance using cutting-edge technology, including Artificial Intelligence and Machine Learning through its plateform. Guided by our principle, “Our clients' success is our success,” we are dedicated to delivering exceptional value and results for our partners.

Job Description

We are currently looking for Data Scientist to join our growing Analytics Team.

As a Data Scientist, you will develop and validate robust analytical solutions for our clients – this includes ad hoc data analysis as well as development of statistical models (propensity or loss) used for business strategies generating revenue. You will be overseeing and facilitating the training of a range of ML models, researching and developing new scalable solutions that leverage analytics to meet business needs. You will report to our head of analytics.

What you will do:

• Develop and validate ML models and strategies for different clients and projects
• Utilize machine learning techniques to enhance current models and improve predictive accuracy
• Work with large, complex datasets to extract insights and build risk assessment frameworks
• Evaluate the performance of the trained models and presentation of the results to stakeholders
• Produce ad-hoc analysis on the developed models
• Work on proof-of-concept projects to support client needs
• Maintenance and improvement of the existing model development pipeline
• Research and development of new advanced analytics solutions

Qualifications

What you are expected to bring:

• 5+ years of experience in Data Science role
• A degree (BSc level) at a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
• Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
• Understanding of how and when to apply key analytical approaches including statistical analysis and machine learning
• Ability to write near-production-level code in Python
• To learn and understand new technologies
• Analytical and problem-solving abilities, coupled with an enquiring mind
• Fluency in English