Data Scientist at Liquid Thought

Introduction

• We are seeking a skilled professional to assess, develop, and optimize credit rules and strategies within our decision system. The successful candidate will ensure accurate implementation and smooth operation of these strategies in production, while also analysing credit and system data to provide insights for business decisions. This role is critical in maintaining system integrity, ensuring seamless interaction between credit strategies and business rules, and delivering reports to support early warning triggers and ongoing monitoring

Minimum Qualification and Experience:

• Bachelor's degree in Computer Science, Statistics, Data Science, Engineering
• SAS Coding Required; hands-on experience writing, testing, and optimizing SAS code in real-world projects.
• DS2 Advantageous; actual experience working with DS2 in production environments.
• API Concepts Required; experience using APIs to interact with systems, such as calling a decision engine via API and testing outputs.
• Credit Risk Advantageous; experience working with credit risk assessments, decision models, or credit strategies in practice.
• Relational Databases (PostgreSQL) Required; experience working with relational databases, including writing queries.
• SAS Visual Analytics Advantageous; practical experience using SAS Visual Analytics to create reports, dashboards, or conduct analysis
• SAS Intelligent Decisioning Advantageous; experience using SAS Intelligent Decisioning to manage and implement decisioning strategies.
• Post graduate qualification (advantageous)

Position Outputs/Competencies:

• Assess the requirements of new credit rules and strategies, determining the most optimal way to implement them within the decision system.
• Develop new credit rules and strategies for easy future maintenance and optimal response time from the decision engine.
• Use API software to call the decision engine and test if the developed rules and strategies align with the received requirements.
• Analyse the output data from the decision engine to confirm the correct implementation of rules and strategies in production.
• Perform analysis on system logs, API logs, and data from other credit lifecycle systems to ensure they are functioning as intended and providing correct outputs.
• Build simple reports based on system analysis for early warning triggers and monitoring purposes.
• Analyse credit data to answer business-related questions.
• Understand the overall credit system flow and how it connects with the credit strategy and business rules.

Perks & Benefits

• Centrally Located Offices
• Retirement & Risk Benefits
• Flexible Working Arrangements
• Tenure Bonuses
• Professional Development
• Employee Discounts
• Medical Insurance Options
• Employee Wellness
• On-Site Canteen