Lead Data Scientist - Finance

Our client is looking for an innovative and experienced Lead Data Scientist specializing in Finance to join their remote team. This role is critical for leveraging advanced analytics, machine learning, and AI to drive business insights, optimize financial strategies, and develop cutting-edge data-driven products. You will lead a team of data scientists, mentor junior members, and collaborate closely with business stakeholders to identify opportunities where data science can create significant value.

This position offers the chance to work on challenging problems in a fully remote setting with a focus on financial innovation.

• Lead the development and deployment of machine learning models for financial forecasting, risk assessment, and fraud detection.
• Design and implement data-driven strategies to enhance business performance and customer insights.
• Mentor and manage a team of data scientists, fostering a collaborative and innovative environment.
• Collaborate with product managers, engineers, and business leaders to translate data insights into actionable business initiatives.
• Explore and integrate new technologies and methodologies in data science and AI.
• Ensure the ethical and responsible use of data and AI within the organization.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with a proven track record in the financial industry.
• Expertise in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Demonstrated experience in leading data science teams and managing projects.
• Excellent communication and presentation skills, with the ability to explain complex findings to non-technical audiences.

• Highly competitive salary and stock options package.
• Fully remote work opportunity, providing exceptional flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous budget for professional development, conferences, and training.
• Opportunity to lead groundbreaking projects in financial data science.