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For Companies At a Glance
- Tasks: Analyse complex financial data and improve reporting processes.
- Company: Established financial services organisation with a supportive culture.
- Benefits: Friendly work environment, varied workload, and career development opportunities.
- Why this job: Make an impact in financial management while working with senior stakeholders.
- Qualifications: Degree in a numerate discipline and strong analytical skills required.
- Other info: Opportunity to work on cross-functional projects and enhance data accuracy.
The predicted salary is between 36000 - 60000 £ per year.
An established and well-regarded financial services organisation is looking to appoint a Financial Data Analyst to join its Actuarial / Financial Reporting function. This role would suit a numerate, detail-focused analyst who enjoys working with complex financial data, improving controls and processes, and supporting reporting within a regulated environment. The position offers broad exposure across valuations, management information, and project work, with regular interaction with senior stakeholders.
The Role
You will be responsible for supporting the financial and risk management activities of the business, with a particular focus on data quality, reconciliation, and reporting. Key responsibilities will include:
- Owning the data reconciliation process for monthly and year-end actuarial valuations
- Identifying and implementing process improvements to enhance data accuracy and efficiency
- Developing and maintaining a robust control framework around financial data used for actuarial purposes
- Producing and updating financial and risk dashboards for senior management, Boards, and Committees
- Supporting regular management information (MI) reporting
- Leading demographic experience investigations and contributing to annual experience analysis
- Supporting cross-functional projects, responding to data and analysis queries as required
- Maintaining clear documentation of processes, controls, and procedures
The Candidate
The successful candidate is likely to have a strong analytical mindset and experience working with financial datasets in a structured, regulated environment. Essential requirements:
- Degree-level qualification (or equivalent) in a numerate discipline
- Experience analysing, summarising, and reconciling financial data
- Strong Excel capability and high level of computer literacy (SQL desirable)
- Excellent numeracy, attention to detail, and problem-solving skills
In return you will be rewarded with a friendly, supportive working environment with a varied and interesting workload within a highly respected and established organisation.
Locations
Financial Data Analyst in Didsbury, Manchester employer: Front Row Recruitment
Contact Detail:
Front Row Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst in Didsbury, Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those who work as Financial Data Analysts. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on a job or can give you insider tips!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves complex financial data, be ready to discuss your experience with data reconciliation and process improvements. Practise explaining your analytical mindset and how you've tackled challenges in previous roles.
✨Tip Number 3
Showcase your Excel skills! During interviews, be prepared to demonstrate your proficiency with spreadsheets. Bring examples of dashboards or reports you've created that highlight your attention to detail and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team. Let’s get you that Financial Data Analyst role!
We think you need these skills to ace Financial Data Analyst in Didsbury, Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Financial Data Analyst role. Highlight your analytical mindset and any experience with financial datasets, as this will catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working with complex financial data. Share specific examples of how you've improved processes or enhanced data accuracy in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your Excel prowess and any experience with SQL. We love seeing candidates who are comfortable with technology, especially in a regulated environment like ours!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Front Row Recruitment
✨Know Your Numbers
Brush up on your financial data analysis skills before the interview. Be prepared to discuss specific examples of how you've reconciled data or improved processes in previous roles. This will show that you can handle the complexities of the job.
✨Excel is Your Best Friend
Since strong Excel skills are essential for this role, make sure you’re comfortable with advanced functions and data manipulation techniques. You might even want to prepare a few examples of how you've used Excel to solve problems or streamline reporting.
✨Understand the Regulatory Environment
Familiarise yourself with the regulatory aspects of financial reporting. Being able to discuss how you’ve navigated compliance issues or maintained data quality in a regulated environment will impress the interviewers and demonstrate your fit for the role.
✨Engage with Stakeholders
This role involves regular interaction with senior stakeholders, so be ready to talk about your experience in communicating complex data insights clearly. Think of examples where you’ve successfully collaborated with others to achieve a common goal.
