Job Title:  Data Scientist

The pay range for this position at commencement of employment is expected to be between $130-200k*

Company overview

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com

Aon’s Benefit Index®, Nomura’s benefits rank #1 amongst our competitors

Role Description: The Data Scientist will play a pivotal role in shaping our advanced analytics and AI practices

on a global scale. You will champion the adoption of a data-driven culture across the organization.

In this role, you will lead efforts to apply cutting-edge statistical modeling, machine learning, and AI

techniques to solve real-world problems, including the development of advanced LLMs (Large

Language Models). Your work will unlock transformative applications of AI that drive innovation and

have a meaningful impact on society and our business.

Not only do you bring an exceptional technical background, but you also excel in problem solving

and collaboration. Your ability to inspire and guide teams, coupled with your vision, will drive

valuable insights and ensure the successful delivery of impactful solutions.

You are highly driven, resourceful, and capable of navigating complex challenges with

determination and creativity.

Key Responsibilities:

• Advanced Analytics and Innovation

• 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.
• Collaboration and Stakeholder Engagement

• Work closely with engineers, business stakeholders, and cross-functional teams to design and implement innovative solutions.
• Provide strategic input for long-term data initiatives, including data governance and compliance.

Operational Excellence

• 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.

Mentorship and Development

• Actively mentor junior Data Scientists, fostering their growth and development within the organization.

Leadership and Strategy

• Mentor and Collaborate with a of Data Scientists, fostering a culture of excellence, innovation, and continuous learning.
• Help contribute and drive the strategic direction of data science initiatives, aligning them with business goals and priorities.
• Champion the adoption of a data-driven culture across the organization, promoting data literacy and ethical AI practices.

Qualifications

Relevant tertiary qualification, Doctorate or Master’s in Data Science, Mathematics, Statistics, Computer Science, or a related field AND 4+ years industry working experience.

• Demonstrated history of data science experience and the ability to concisely share examples of successful past projects.
• Advanced SQL and 2+ years’ programming experience in Python and Natural Language Processing (NLP).
• 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.
• 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.
• 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.
• A Masters/Doctorate in a relevant discipline is a plus.
• You will have 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 identity and analyse problems and then timely deliver viable solutions.