Senior Trading Manager
Reports to: Customer Service & Operations Director
This role will be responsible for leading and developing a team of data analysts and scientists to produce robust and insightful analytics that drive operations success and meet strategic objectives.
The main responsibilities of the role will be to:
- Develop and lead a specialist Trading Analytics team
- Deliver strategic and tactical solutions, with a particular focus on data analytic models
- Strategically evaluate and continuously review the organization’s Trading Analytics offering.
- Provide leadership, direction and thinking on projects that require analytical components.
- Work collaboratively with other departmental manager(s) to effectively manage the allocation of resources to Trading Analytics projects.
- Influence and engage effectively with stakeholders / Panel of Insurers to understand their requirements and advise on the best approach to fulfil these with the data and tools available,
- Research, develop, implement, and integrate new data analytic models, reporting systems and applications which better position the company to achieve its strategic goals.
- Review and evaluate the use analytical products and introduce new products that can support business objectives and unlock value from data assets.
- Develop and control documentation, data governance, data quality and data security.
- Drive efficiencies in how analytical services are delivered.
- Be a subject matter expert for analytics.
- Communicate benefits of analytics to colleagues. Using these communications to both promote growth in analytics, as well as outputs and benefits from existing services.
- Manage relationships with any external providers analytical capability that may be introduced into the company
- Drive the standardization of analytical services to ensure economies of scale of delivery and value for money from investment in analytics.
- Liaise with internal and external customers to manage the development and timely delivery of individual, team and company information.
- Identify and share best practice across group.
- Work closely with colleagues to embed analytics into business processes
- Providing regular, appropriate and timely reports to the Customer Service & Operations Director.
- Assist in the delivery of Annual Forecasting Plans and periodic reforecasting plans alongside Finance
- Other duties as assigned
Qualifications
- Achieved at least 2:1 Degree in Math’s, Statistics, Actuarial Science, or another subject with similar high mathematical content.
Experience
- Demonstrable experience of coaching, mentoring and/or developing people.
- Demonstrable experience of working within a highly regulated environment, i.e., Financial Services.
- Experience of working with data analytical tools for example, SSIS, SSAS, SPSS, SAS, SQL, Matlab, R.
- Experience of working with and/or developing analytical models e.g., decision trees, neural networks, linear regression, pricing tools etc.
- Experience of working in a life and/or non-life insurance company (desirable)
- Solvency 2 and/or Capital Reserving experience (desirable).
Skills, abilities, and competencies
- Strategic thinker.
- Potential to provide clear direction and empower a team to achieve results.
- Potential to and have a keen interest in managing a team.
- Thrives in a culture of continuous development and learning.
- Strong numerical and analytical skills.
- Ability to work under pressure to tight deadlines.
- Excellent attention to detail, verbal and written communication skills and the ability to multi-task effectively.
Senior Trading Manager in Newtownards employer: Markerstudy Group
Markerstudy is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Manchester. With hybrid working options, employees enjoy a flexible environment while contributing to impactful analytics solutions for leading insurance brands. The company prioritises employee growth through continuous development opportunities, making it an ideal place for those passionate about data and looking to advance their technical and commercial skills.