Specialist Data Scientist

Specd; Johannesburg; On-site; ZAR 60 000 - 100 000; Full time

Job summary

An established industry player is seeking a Specialist Data Scientist to apply advanced machine learning techniques to financial datasets. In this role, you will derive insights from both structured and unstructured data, build and validate models for trading and risk management, and interpret complex financial instruments. This exciting opportunity offers the chance to work onsite in a dynamic environment, contributing to innovative projects that shape the future of finance. If you have a strong background in data analytics and machine learning, and are passionate about financial markets, this role is perfect for you.

Qualifications

• Experience in financial institutions or trading firms is essential.
• Strong knowledge of machine learning and statistical analysis techniques.

Responsibilities

• Apply machine learning models to financial datasets for insights.
• Build and validate quantitative models for trading and risk management.

Skills

Data Analytics

Machine Learning

Statistical Analysis

Programming (Python)

Cloud Services (AWS)

Data Management (SQL/NoSQL)

Education

Masters or PhD in Computer Science

Masters or PhD in Mathematics

Masters or PhD in Statistics

Masters or PhD in Financial Engineering

Tools

AWS

Docker

Kubernetes

SQL

NoSQL

Job description

JOB DESCRIPTION INFORMATION

Job Title:

Specialist Data Scientist

Employment Type:

3 Months Contract (Renewable)

Work Location:

Onsite

Job Description / Responsibilities:

• Apply machine learning models to financial datasets, including regression, classification, clustering, and time series forecasting.
• Derive insights from structured and unstructured data.
• Build and validate quantitative models for trading, pricing, or risk management.
• Interpret and model complex financial instruments and systems within global markets environments.

Requirements:

• Masters or PhD in Computer Science, Mathematics, Statistics, Financial Engineering, or related fields.
• Experience in financial institutions, hedge funds, trading firms, or investment banks.
• Knowledge of high-frequency or algorithmic trading is a plus.

Mandatory Skills:

• Data Analytics: EDA, data wrangling, feature engineering.
• Machine Learning: Supervised/unsupervised learning, model tuning, deep learning, time series forecasting, model explainability.
• Statistical & Quantitative Analysis: Hypothesis testing, Bayesian statistics, regression, clustering, stochastic modeling.
• Programming & Software Engineering: Python expertise, version control, production code, APIs/microservices (bonus).
• Cloud & Infrastructure: AWS services, CI/CD, containerization (Docker, Kubernetes).
• Data Management: SQL, NoSQL, big data tools.

Package & Remuneration:

Compensation will be based on qualifications, industry experience, and previous earnings.