Specialist Data Scientist

Penny The Recruiter; Johannesburg; On-site; ZAR 600 000 - 900 000; Full time

Job summary

A leading company in the financial sector is seeking a Data Analyst with expertise in machine learning and quantitative analysis. The role involves developing market-making models, analyzing trading data, and working with AWS infrastructure. Candidates should have a strong background in financial products and proven experience in complex systems. This position offers a competitive salary and the opportunity to work in a dynamic environment.

Qualifications

• 5-7 years of experience in data analytics and machine learning.
• Proven experience in complex financial systems.
• Hands-on coding experience in Python.

Responsibilities

• Assist in developing and optimizing market-making models.
• Conduct back testing and research for model improvement.
• Implement machine learning techniques for price prediction.

Skills

Data analytics

Machine learning

Quantitative analysis

Financial products knowledge

Trading algorithms

Market Microstructure

SQL

Python

AWS

Visualization tools

Education

BSc / IT degree

Tools

AWS

QuickSight

Azure DevOps

ServiceNow

Job description

What you will be doing:

1. Assist in the development and optimization of market-making models, focusing on equities and equity derivatives.
2. Conduct back testing and research to improve current models and develop new ones.
3. Analyze high-frequency trading data to identify patterns and trends.
4. Implement machine learning techniques, particularly LSTMs and convolutional networks, to predict short-term price movements.
5. Collaborate with teams to integrate new indicators and models into production environments.
6. Work with AWS infrastructure, including S3 buckets and SageMaker, for data processing and model training.
7. Generate and analyze data samples, including time-based and volume-based sampling.
8. Ensure the robustness of models by balancing in-sample and out-sample results.

What we are looking for:

• Completed BSc / IT degree or other related fields.
• 5 - 7 years of experience in data analytics, machine learning, and quantitative analysis.
• Proven experience working in complex financial systems and applications (e.g., trading platforms, payment systems, risk management systems).
• Strong understanding of financial products, capital markets, derivatives, and treasury operations.
• Strong understanding of equities and trading.
• Hands-on experience with coding in Python, and the use of visualization tools.
• Must have experience with machine learning.
• Must have knowledge of Market Microstructure.
• Technical Skills: Proficiency in SQL, Python, AWS, and QuickSight; experience working with databases for data analysis.

Additional Requirements:

• 5+ years of experience in global markets.
• Proficiency in machine learning (a must).
• Proficiency in trading algorithms (a must).
• Experience with ticketing systems (e.g., Azure DevOps, ServiceNow), change management tools.
• Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.