Senior Data Scientist - Financial Modeling

Placements24; Benoni; Presencial; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Annual bonus

Health insurance

Retirement plan

Professional development budget

State-of-the-art technology

Generous paid time off

Descripción de la vacante

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Financial Modeling to join their financial services client. You will develop predictive models for forecasting, risk, and fraud detection using Python/R and modern ML techniques.

The role emphasizes large datasets, collaboration with stakeholders, and mentoring junior data scientists, with a focus on driving business outcomes in Banking & Finance.

Formación

• PhD or MS in a quantitative field such as Data Science, Statistics, CS or Mathematics.
• Minimum 5 years of experience as a Data Scientist with financial modeling focus.
• Proficiency in Python or R and ML libraries; Spark experience is a plus.

Responsabilidades

• Develop, validate, and deploy ML models for forecasting and risk management.
• Analyze large datasets to identify trends and insights.
• Design A/B tests and experiments to evaluate model performance.
• Collaborate with stakeholders to translate requirements into data solutions.
• Build data pipelines and ensure data quality for training/deployment.
• Present findings to technical and non-technical audiences.
• Mentor junior data scientists and contribute to team growth.
• Monitor models and drive ongoing performance optimization.

Conocimientos

Python

R

Machine learning

Statistical modeling

Spark

Communication

Problem solving

Team collaboration

Educación

PhD or MS in quantitative field

Herramientas

TensorFlow

PyTorch

scikit-learn

Descripción del empleo

About the Role

Our client, a leading financial services group, is seeking a highly skilled Senior Data Scientist with a specialization in Financial Modeling to join their innovative team in Benoni, Gauteng. This role involves leveraging advanced data analytics, machine learning, and statistical modeling techniques to develop predictive models for financial forecasting, risk assessment, and fraud detection. You will work with vast datasets, extracting valuable insights that drive strategic business decisions and enhance our competitive edge. The ideal candidate possesses a strong academic background in a quantitative discipline and extensive experience in applying data science methodologies to real-world financial challenges. This is an exceptional opportunity to contribute to the Banking & Finance sector in Benoni through cutting-edge data-driven solutions. We foster a collaborative environment where data scientists can push the boundaries of financial analytics and contribute directly to business outcomes. The role is integral to our digital transformation efforts, aiming to enhance efficiency and customer experience through intelligent data utilization.

Key Responsibilities

• Develop, validate, and deploy sophisticated machine learning models for financial forecasting and risk management.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Design and implement A/B tests and other experimental designs to evaluate model performance.
• Collaborate with business stakeholders to understand requirements and translate them into data science solutions.
• Build data pipelines and ensure data quality for model training and deployment.
• Present complex analytical findings to both technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's technical growth.
• Develop strategies for model monitoring and ongoing performance optimization.
• Contribute to the firm's data strategy and roadmap.

Requirements

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Scientist, with a strong focus on financial modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Strong understanding of financial concepts and the Banking & Finance industry.
• Excellent problem-solving, analytical, and critical thinking skills.
• Effective communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Proven track record of delivering data-driven solutions in a business context.

Benefits

• Competitive salary and a significant annual bonus.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with employer contributions.
• Professional development budget for conferences and training.
• Access to state-of-the-art technology and computing resources.
• Opportunity to work on challenging and impactful projects.
• Collaborative and intellectually stimulating work environment.
• Generous paid time off.