Lead Data Scientist - Financial Modeling

Placements24; Cape Town; Híbrido; ZAR 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Medical, dental, vision insurance

Home office setup allowance

Remote work flexibility

Retirement plan

Paid time off

Professional training & certifications

Career growth opportunities

Descripción de la vacante

Placements24 is seeking a Lead Data Scientist to spearhead advanced financial modeling initiatives. This fully remote role involves leading a team of data scientists to drive innovation in predictive modeling, risk assessment, and algorithmic strategies across financial datasets.

The candidate will leverage Python, R, and modern ML libraries, with deep understanding of financial markets and big data tech. Remote collaboration and executive-level delivery are essential.

Formación

• PhD or Master’s in a quantitative field is required.
• 8+ years of progressive data science experience with financial modeling focus.
• Experience leading and mentoring data science teams.

Responsabilidades

• Lead design, development, and deployment of ML models for financial forecasting, fraud detection, and analytics.
• Mentor and manage a team of data scientists, fostering innovation.
• Collaborate with risk, product, and trading teams to identify business challenges.
• Develop and maintain robust data pipelines and infrastructure for large-scale training.
• Evaluate and implement new data science tools and technologies.
• Ensure scalability, reliability, and performance of models.
• Present findings and recommendations to senior management.

Conocimientos

Python

R

TensorFlow

PyTorch

Scikit-learn

Pandas

Leadership

Mentoring

Communication

Educación

PhD in CS/Statistics/Math

Master's in related field

Herramientas

Spark

Hadoop

AWS

Azure

GCP

Descripción del empleo

About the Role

Our client, a prestigious financial institution based in Cape Town, is actively seeking a Lead Data Scientist to spearhead their advanced financial modeling initiatives. This is a fully remote position, offering a unique opportunity to shape the future of financial analytics from anywhere. The successful candidate will lead a team of talented data scientists, driving innovation in predictive modeling, risk assessment, and algorithmic trading strategies. You will leverage state-of-the-art machine learning techniques and big data technologies to extract actionable insights from vast financial datasets. This role demands a blend of technical expertise, leadership acumen, and a deep understanding of financial markets. We are looking for a proactive individual who excels in a remote setting, fostering collaboration and driving project success without geographical constraints. Join us in revolutionizing financial services through data.

Key Responsibilities

• Lead the design, development, and deployment of complex machine learning models for financial forecasting, fraud detection, and customer analytics.
• Manage and mentor a team of data scientists, providing technical guidance and fostering a culture of innovation and continuous improvement.
• Collaborate with stakeholders across various departments, including risk management, product development, and trading, to identify key business challenges and opportunities.
• Develop and maintain robust data pipelines and infrastructure to support large-scale data processing and model training.
• Evaluate and implement new data science tools, techniques, and technologies to enhance analytical capabilities.
• Ensure the scalability, reliability, and performance of deployed models.
• Present findings and recommendations to senior management and executive teams.

Requirements

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 8+ years of progressive experience in data science, with a significant focus on financial modeling and machine learning.
• Proven experience in leading and managing data science teams.
• Expertise in Python, R, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Strong understanding of financial instruments, market dynamics, and regulatory requirements.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent communication, presentation, and interpersonal skills, capable of conveying complex technical concepts effectively.
• Demonstrated ability to work autonomously and drive results in a fully remote work environment.
• Experience with SQL and NoSQL databases.

Benefits

• Highly competitive salary and performance-based bonuses.
• Comprehensive benefits package including medical, dental, and vision insurance.
• Generous allowance for home office setup and professional development.
• Remote work flexibility with opportunities for virtual team building.
• 401(k) or equivalent retirement plan with employer contribution.
• Paid time off and public holidays.
• Access to advanced training and certifications.
• Opportunities for significant career growth and leadership development.