We are seeking a skilled Data Scientist with expertise in fintech and regtech to join our team. The ideal candidate will leverage Deep Learning, Machine Learning, and statistical modeling to drive insights and support compliance and decision-making across the organization.
Preferred Skills:
Knowledge of cloud platforms (e.g., AWS, Azure)
Familiarity with data engineering and ETL processes
Understanding of risk management frameworks and compliance analytics
Experience with deploying LLMs to production environments.
Experience with Computer Vision modeling techniques.
Key Responsibilities:
Collaborate with cross-functional teams, including compliance and risk management, to understand data needs and deliver actionable insights
Analyze large datasets to identify trends, patterns, and insights related to financial services and regulatory compliance
Develop predictive models and machine learning algorithms to address business problems in the fintech and regtech sectors
Conduct experiments to optimize processes and strategies within regulatory frameworks
Monitor regulatory changes and assess their impact on business operations using data-driven insights
Present findings to stakeholders, providing recommendations for compliance and operational efficiency based on data analysis
Stay up-to-date with industry trends, regulations, and best practices in fintech and regtech data science
Qualifications:
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's preferred)
Proven experience as a Data Scientist or in a similar analytical role, preferably in fintech or regtech.
5+ years of experience
Proficiency in programming languages such as Python or R
Experience with databases SQL, MongoDB or similar tools
Strong understanding of machine learning algorithms and statistical methods
Knowledge of financial regulations and compliance issues is a plus
Excellent problem-solving skills and attention to detail
Strong communication skills, with the ability to present complex information clearly