Senior Data Scientist - Financial Modeling

Placements24; Mossel Bay; Hybrid; ZAR 900,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Retirement plan

Remote work

Professional development

Job summary

Placements24 is seeking a Senior Data Scientist with a specialization in Financial Modeling to join a cutting-edge fintech team. This fully remote role can be executed from Mossel Bay, Western Cape, or anywhere globally, focusing on predictive analytics, risk assessment, and investment optimization within Banking & Finance.

You will design advanced models, build data pipelines, and mentor junior data scientists in a remote environment, while staying ahead of industry trends and regulatory

Qualifications

• Master’s or PhD in a quantitative field with strong analytics.
• 5+ years in data science focusing on financial modeling.
• Proficient in Python or R and ML libraries.
• Experience with big data tech (Spark/Hadoop) and SQL.
• Remote work capability and strong communication.

Responsibilities

• Design advanced statistical models and ML for financial forecasting.
• Analyze large datasets to uncover financial insights.
• Translate business needs into data science solutions.
• Build data pipelines for training and deployment.
• Evaluate model performance for accuracy and reliability.
• Present findings to technical and non-technical audiences.
• Stay current with DS, ML, and financial modeling advances.
• Contribute to data-driven strategies in Banking & Finance.
• Mentor junior data scientists in a remote team.

Skills

Data science experience

Financial modeling

Predictive analytics

Python

R

SQL

Education

Master's or PhD in quantitative field

Tools

pandas

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL databases

Job description

About the Role

Our client, a leading innovator in financial technology, is seeking a Senior Data Scientist with a specialization in Financial Modeling to join their cutting-edge team. This is a fully remote position, allowing you to contribute your expertise from anywhere in **Mossel Bay, Western Cape**, or beyond. The role involves leveraging advanced data analytics, machine learning, and statistical techniques to develop sophisticated financial models that drive critical business decisions. You will be instrumental in predicting market trends, assessing risk, and optimizing investment strategies within the **Banking & Finance** sector. We are looking for a highly analytical and creative individual who thrives on solving complex problems using data.

Key Responsibilities

• Design, develop, and implement advanced statistical models and machine learning algorithms for financial forecasting, risk assessment, and portfolio optimization.
• Analyze large and complex datasets to identify patterns, trends, and insights relevant to financial performance.
• Collaborate with product managers, engineers, and other stakeholders to translate business needs into data science solutions.
• Build and maintain data pipelines for model training and deployment.
• Evaluate and validate model performance, ensuring accuracy and reliability.
• Present complex findings and recommendations to both technical and non-technical audiences in a clear and concise manner.
• Stay current with the latest advancements in data science, machine learning, and financial modeling techniques.
• Contribute to the development of data-driven strategies within the **Banking & Finance** domain.
• Mentor junior data scientists and contribute to the team's knowledge sharing in a **remote** environment.
• Ensure all models adhere to ethical guidelines and regulatory requirements.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of experience in data science, with a strong focus on financial modeling and predictive analytics.
• 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 techniques (e.g., regression, classification, time series analysis, deep learning), and experimental design.
• Strong understanding of financial markets, instruments, and risk management principles.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
• Excellent problem-solving skills and the ability to work independently in a **remote** setting.
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts effectively.
• Experience in the **Banking & Finance** industry is highly desirable.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Our client offers a highly competitive salary and bonus structure, along with a comprehensive benefits package including health, dental, and vision insurance, and a generous retirement plan.
• As a fully **remote** position, you have the freedom to work from your preferred location, such as **Mossel Bay, Western Cape**.
• We provide opportunities for continuous learning, conference attendance, and professional development.
• Join a forward-thinking company that is at the forefront of data-driven innovation in the **Banking & Finance** sector and make a significant impact.