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- Tasks: Lead advanced analytics initiatives in Credit Risk and Customer Engagement.
- Company: Join a rapidly expanding Financial Services organisation making waves in the industry.
- Benefits: Enjoy opportunities for remote work, mentorship, and professional growth.
- Why this job: Shape data-driven strategies and drive impactful decisions in a dynamic environment.
- Qualifications: Degree in Data Science or related field; 10 years' experience in Financial Services required.
- Other info: Foster a culture of data literacy and innovation while mentoring a team of analysts.
The predicted salary is between 43200 - 72000 £ per year.
This rapidly expanding Financial Services organisation are looking for a Senior Analytics Manager to work across their Credit Risk and Digital / Customer Engagement functions to lead advanced analytics initiatives and embed a strong data-driven culture throughout the organisation. Client Details Rapidly expanding Financial Services organisation Description This rapidly expanding Financial Services organisation are looking for a Senior Analytics Manager to work across their Credit Risk and Digital / Customer Engagement functions to lead advanced analytics initiatives and embed a strong data-driven culture throughout the organisation. As Senior Analytics Manager, you will be pivotal in shaping the business\’s overall data and analytics strategy. You\’ll combine deep technical expertise with commercial insight to deliver impactful analytics solutions across credit risk, marketing, digital, and other strategic functions. Partnering closely with senior leadership, you\’ll transform complex data into actionable insights that drive smarter decisions and sustainable business growth. Key Responsibilities Lead the development and delivery of analytics solutions across diverse business domains Design, build, and maintain robust statistical models and advanced analytical tools to solve complex business problems Collaborate with stakeholders to identify analytical opportunities and translate business challenges into data-driven projects Communicate complex analytical findings in clear, actionable terms to senior leaders and non-technical audiences Champion data quality, governance, and model validation to ensure analytical integrity and regulatory compliance Manage and mentor a team of analysts, fostering continuous development and technical excellence Promote a culture of data literacy, curiosity, and evidence-based decision-making across the organisation Keep abreast of emerging analytics trends, technologies, and best practices to drive innovation and efficiency Essential Requirements: Degree in Data Science, Statistics, Economics, or a related field Minimum of 10 years\’ experience in Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a strategic perspective Comfortable working in fast-paced, evolving environments Desirable: Significant experience working with credit bureau data Exposure to Salesforce or modern data visualisation tools (e.g., Tableau) Profile Degree in Data Science, Statistics, Economics, or a related field Minimum of 10 years\’ experience in Financial Services, with some leadership experience Familiarity with FCA regulations and the regulatory environment within financial services Deep technical expertise in working with large and complex data sets Strong statistical modelling experience Proficiency in Python, R, or SQL Exceptional communication skills, able to influence senior stakeholders and translate analytics into strategic decisions Highly analytical, commercial mindset with a strategic perspective Comfortable working in fast-paced, evolving environmentsJob Offer Opportunity to join a rapidly expanding financial services organisation Opportunity to lead Data Analytics Strategy
Senior Analytics Manager - Credit Risk and Customer Engagement employer: Michael Page
Contact Detail:
Michael Page Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Manager - Credit Risk and Customer Engagement
✨Tip Number 1
Familiarise yourself with the latest trends in analytics and financial services. This will not only help you understand the industry better but also allow you to speak confidently about how you can contribute to our data-driven culture.
✨Tip Number 2
Network with professionals in the financial services sector, especially those involved in credit risk and customer engagement. Engaging in conversations can provide insights into the challenges they face and how your skills can address them.
✨Tip Number 3
Prepare to discuss specific examples of how you've led analytics initiatives in the past. Highlight your experience in managing teams and delivering impactful solutions that align with business objectives.
✨Tip Number 4
Showcase your communication skills by practising how to present complex data findings in a clear and actionable manner. Being able to convey insights effectively to senior stakeholders is crucial for this role.
We think you need these skills to ace Senior Analytics Manager - Credit Risk and Customer Engagement
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, particularly within financial services. Emphasise your leadership roles and any specific projects that demonstrate your ability to manage complex data sets and deliver actionable insights.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the role and how your background aligns with the company's needs. Mention your familiarity with FCA regulations and your technical expertise in tools like Python, R, or SQL.
Showcase Your Communication Skills: Since the role requires exceptional communication skills, provide examples in your application of how you've successfully communicated complex analytical findings to non-technical stakeholders. This could be through previous job experiences or specific projects.
Highlight Continuous Learning: Mention any recent training, certifications, or courses you've completed related to analytics trends or technologies. This shows your commitment to staying current in the field and your ability to drive innovation within the organisation.
How to prepare for a job interview at Michael Page
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with statistical modelling and data analysis tools like Python, R, or SQL. Highlight specific projects where you've successfully applied these skills to solve complex business problems.
✨Communicate Clearly and Effectively
Since you'll be translating complex analytical findings for senior stakeholders, practice explaining your past work in simple terms. Use examples that demonstrate your ability to make data-driven insights actionable.
✨Demonstrate Leadership and Mentorship Skills
As a Senior Analytics Manager, you'll need to manage and mentor a team. Be ready to share your leadership experiences, focusing on how you've fostered development and promoted a culture of data literacy within your teams.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in analytics and financial services. Discuss any recent innovations or technologies you've explored and how they could benefit the organisation's data-driven culture.
