Senior Data Scientist - Financial Markets

Placements24; Vereeniging; Hybride; ZAR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Bonuses

Health insurance

Retirement plan

Learning opportunities

Hybrid work

Résumé du poste

Placements24 is seeking a Senior Data Scientist to join its quantitative analytics team in Vereeniging. The role blends remote work with essential in-office collaboration and focuses on applying ML and statistical methods to financial markets.

You will develop models for trading, risk, and customer insights, interfacing with traders and engineers to drive product enhancements and decision making.

Qualifications

• Master's or PhD in a quantitative field as listed.
• Minimum of 5 years as a Data Scientist with finance focus.
• Proficiency in Python or R and ML libraries.
• Strong statistical modeling and experimental design knowledge.
• Experience with big data technologies and SQL.

Responsabilités

• Develop ML models for trading, risk, fraud, and customer segmentation.
• Analyze large financial datasets to identify trends and opportunities.
• Design A/B tests to evaluate model performance and impact.
• Collaborate with traders and quants to translate needs into data solutions.
• Prepare data, visualizations, and reports for technical and non‑technical audiences.
• Stay current with advances in data science and financial engineering.
• Contribute to data infrastructure and MLOps capabilities.
• Mentor junior data scientists and share knowledge.

Connaissances

Python

R

Machine Learning

Statistics

Big Data

SQL

Communication

Formation

Master's or PhD in CS/Statistics/Math/Physics/Financial Engineering

Outils

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Spark

Hadoop

SQL databases

Description du poste

About the Role Our client, a leading innovator in financial technology, is seeking a highly skilled Senior Data Scientist to join their quantitative analytics team. This role operates on a hybrid model, offering a combination of remote work flexibility and essential in-office collaboration at their **Vereeniging** location. You will leverage advanced statistical, machine learning, and data mining techniques to extract valuable insights from large, complex datasets related to financial markets. Your work will directly influence trading strategies, risk management models, and product development. The ideal candidate possesses a strong quantitative background, exceptional programming skills, and a passion for applying data science to solve challenging problems in the finance domain. You will work with cutting-edge technologies and collaborate with a team of talented quants and engineers. This is an opportunity to make a significant impact in a fast-paced, data-driven environment.

Key Responsibilities

• Develop and implement sophisticated machine learning models for tasks such as algorithmic trading, risk prediction, fraud detection, and customer segmentation.
• Analyze large datasets from financial markets (e.g., equities, derivatives, forex) to identify trends, patterns, and opportunities.
• Design and conduct A/B tests and other experiments to evaluate model performance and business impact.
• Collaborate with traders, portfolio managers, and other stakeholders to understand business needs and translate them into data science solutions.
• Clean, preprocess, and transform raw data into usable formats for analysis and modeling.
• Develop data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and financial engineering.
• Contribute to the development of the firm's data infrastructure and MLOps capabilities.
• Mentor junior data scientists and contribute to knowledge sharing within the team.
• Ensure the ethical and responsible use of data and models.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, Financial Engineering, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a significant portion focused on financial markets or quantitative finance.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong knowledge of statistical modeling, machine learning algorithms, and experimental design.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Familiarity with financial data sources and market microstructure is highly desirable.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts effectively.
• Ability to work effectively in a hybrid team environment, contributing remotely and from the **Vereeniging** office.

Benefits

• Highly competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement plan with employer contributions.
• Opportunities for continuous learning, conference attendance, and professional development.
• Access to state-of-the-art technology and research resources.
• A dynamic and intellectually stimulating work environment.
• Hybrid work flexibility.