Senior Manager Data Science - Financial Services

• Work with one of the top players in Financial Service industry
• Business stability, big corporate

About Our Client

Client provides products within the conventional Financial Services industries.

Job Description

1. Model Development: Lead the development and deployment of sophisticated data science models to address complex business challenges in financial industries, including customer segmentation, risk assessment, and product recommendation systems.
2. Stakeholder Management: Establish and maintain strong relationships with key stakeholders across business units, including actuaries, underwriters, product managers, and marketing teams, to understand their needs and effectively communicate insights derived from data science models.
3. Team Leadership: Manage a team of data scientists, providing mentorship, guidance, and technical expertise to drive innovation and excellence in model development and implementation.
4. Strategic Planning: Collaborate with senior leadership to define the data science roadmap and strategy aligned with business objectives, ensuring that data-driven insights contribute to overall business success and competitiveness in the bancassurance market.
5. Communication and Presentation: Present findings, recommendations, and insights derived from data science models in a clear, concise, and compelling manner to diverse audiences, including executives, business partners, and technical stakeholders.

The Successful Applicant

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 6 years of experience in data science, with a focus on the financial/telco industry preferred.
• Proven track record of building and deploying data science models to drive business outcomes, including experience with machine learning, predictive analytics, and optimization techniques.
• Strong leadership skills with the ability to inspire and motivate a team towards achieving strategic objectives.
• Excellent stakeholder management skills, with the ability to collaborate effectively across departments and influence decision-making processes.
• Exceptional communication and presentation skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
• Proficiency in programming languages such as Python or R, as well as experience with data manipulation and visualization tools (e.g., SQL, Pandas, Matplotlib).

What's on Offer

Experience to being the key person in driving the data science models ideation within the company, working alongside senior leadership to boost the business using advanced analytics