The company is seeking to shape advanced analytics and AI practices on a global scale, with a focus on driving innovation and meaningful impact through data-driven solutions and the development of advanced LLMs.
Requirements
- Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing (NLP).
- Demonstrated history of data science experience and the ability to concisely share examples of successful past projects.
- Proven track record of implementing data science and AI solutions with measurable ROI.
- Previous experience in Public Markets and Private Credit is highly desirable.
- Ability to clearly articulate the strategic importance of ML and AI to senior leadership and the board, driving organizational alignment and support.
- Ability to read and stay abreast of LLM-related research and advancements in the field.
- Able to thrive in an agile environment, adapting to changing priorities and challenges.
Responsibilities
- Develop and deploy advanced machine learning models and AI solutions with a profound impact on our products, services, and end users.
- Lead the exploration of innovative applications of AI in Public Markets, Private Credit, Fixed Income, and other financial solutions.
- Oversee the improvement of LLM output chains across a range of use cases.
- Work closely with engineers, business stakeholders, and cross-functional teams to design and implement innovative solutions.
- Plan and implement MLOps frameworks, including benchmark monitoring for quality assurance and compliance.
- Analyze large datasets to identify trends, patterns, and opportunities for business impact.
- Actively mentor junior Data Scientists, fostering their growth and development within the organization.
Other
- Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or a related field AND 4+ years industry working experience.
- Excellent communicator with stakeholders at all levels, with the ability to tailor messaging to both technical and non-technical audiences.
- Empathetic, collaborative, and open to feedback, fostering a positive team environment.
- Effective interpersonal skills, good data analysis skills, the ability to develop relationships across various business stakeholders, strong written and verbal communication skills.
- The ability to proactively identify and analyse problems and then timely deliver viable solutions.
