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Data Scientist

2 weeks ago

Gauteng, South Africa Liquid Thought Full time

**Role: Data Scientist (Financial Services)**:

- ** Division: Financial Solutions**:

- ** Location**:Gauteng (Sandton)**:

- ** Work Model: Hybrid**:

- ** Level: Mid-Senior**:

- ** CTC: Negotiable (Depending on experience)**

**Introduction**

**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