Data Scientist - Financial Modeling

Placements24; Gqeberha; Híbrido; ZAR 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Health insurance

Retirement contributions

Learning & development

Paid time off

Descripción de la vacante

Placements24 is seeking a Data Scientist specializing in Financial Modeling to join a forward-thinking fintech team. This fully remote role centers on building predictive models for valuation, risk, and strategic financial insights within banking and finance.

You'll work with Python or R, leveraging pandas, scikit-learn, TensorFlow, and PyTorch to analyze large datasets and deliver actionable results. Collaboration with finance, product, and engineering teams is essential.

Formación

• Master's or PhD in a quantitative field required.
• 5+ years of Data Scientist experience focused on financial modeling or analytics.
• Proficiency in Python or R with libraries for ML and time series.

Responsabilidades

• Design, develop, and implement advanced statistical and ML models for financial forecasting and risk assessment.
• Analyze large datasets to extract actionable insights and patterns.
• Develop financial models for valuation, portfolio optimization, and predictive analytics.
• Collaborate with finance, product, and engineering to define data requirements.
• Communicate findings with clear visualizations and reports.

Conocimientos

Python

R

SQL

Time series analysis

Machine Learning

Data Visualization

Educación

Master's or PhD in Data Science, Statistics, Mathematics, CS, Economics

Herramientas

pandas

scikit-learn

TensorFlow

PyTorch

Spark

Descripción del empleo

About the Role

Our client, a forward-thinking financial technology firm, is actively seeking a talented Data Scientist specializing in Financial Modeling to join their innovative team. This role is ideal for an individual passionate about leveraging data to build sophisticated predictive models and drive strategic financial insights. The position is based in the bustling hub of Port Elizabeth , but offers a fully remote work arrangement, allowing you to contribute from anywhere. You will play a pivotal role in enhancing our client's analytical capabilities within the competitive Banking & Finance landscape.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models for financial forecasting and risk assessment.
• Analyze large, complex datasets to extract actionable insights and identify patterns.
• Develop and maintain robust financial models for valuation, portfolio optimization, and predictive analytics.
• Collaborate with finance, product, and engineering teams to define data requirements and analytical approaches.
• Communicate complex findings and model results to technical and non-technical stakeholders through clear visualizations and reports.
• Evaluate and benchmark model performance, iterating to improve accuracy and efficiency.
• Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
• Contribute to the development of data infrastructure and tooling to support advanced analytics.
• Ensure data quality, integrity, and security throughout the modeling process.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist with a focus on financial modeling and analysis, preferably within the Banking & Finance industry.
• Strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning algorithms, and time series analysis.
• Experience with SQL and working with large relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent problem-solving skills and the ability to translate business problems into data-driven solutions.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work independently in a remote environment and manage project timelines effectively.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote working opportunity, offering exceptional work-life balance.
• Comprehensive health, dental, and vision insurance.
• Generous contributions to retirement savings plans.
• Opportunities for continuous learning and professional development, including conference attendance.
• Access to state-of-the-art technology and data resources.
• A collaborative and innovative work culture.
• Generous paid time off and holidays.