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- Tasks: Join us as a Data Management Analyst, focusing on data quality and project delivery.
- Company: Quilter plc is a leading wealth management firm dedicated to brighter financial futures.
- Benefits: Enjoy 26 days holiday, a pension scheme, and flexible benefits tailored for you.
- Why this job: Be part of a transformative team that values innovation and collaboration in a dynamic environment.
- Qualifications: Ideal candidates are self-motivated with SQL knowledge and a background in data management.
- Other info: This is a 7-month fixed-term contract based in London.
The predicted salary is between 36000 - 60000 £ per year.
Fixed Term Contract Duration - 7 Months
About the Business
Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation. Quilter oversees £119.4 billion in customer investments (as at end December 2024). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth. Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning. At Quilter, we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!
About the Role
Level: 4
Department: QI Operations
Location: London
Contract Type: Fixed Term Contract
Regulated/Non-Regulated: Non-Regulated
As a Data Management Analyst, you will play a key role in helping to deliver the evolution of Data Management and in maintaining data quality, integrity, consistency, and timeliness for our business stakeholders. Your main focus will be supporting the project delivery of an investment data warehouse.
Key responsibilities include:
- Supporting the implementation of benchmark and ESG data workflows, focusing on ingestion, mastering, and data quality checks supported by good data governance practices.
- Performing data quality checks, exception management, and ongoing data maintenance activities, with early escalation of risks, issues, and errors.
- Maintaining clear procedure documentation with appropriate controls, reviewing existing processes, and preparing for business readiness activities for new processes.
- Building and maintaining effective relationships with stakeholders.
About You
The successful candidate:
- Is self-motivated with a desire to succeed.
- Has good knowledge of SQL or experience in building data workflows and data quality checks.
- Has working knowledge of rule building within Rimes Matrix (beneficial).
- Has a proven track record in data management and operational processes, ideally within financial services.
- Possesses strong data analysis and processing skills, possibly gained in other industries.
- Demonstrates problem-solving and critical thinking skills.
- Is adaptable with excellent attention to detail to ensure high data accuracy and control.
- Can collaborate effectively within the team, project teams, and wider operational and investment teams.
- Shows leadership on initiatives and deliverables.
- Can work independently and take initiative.
Values
- Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and communities.
- Always curious: We seek new ideas and knowledge to stay ahead of our clients’ needs, encouraging experimentation to create brilliant solutions for brighter futures.
- Embrace challenge: We aim high to transform potential into meaningful outcomes, succeeding for the good of every generation.
- Stronger together: We combine diverse talents, support each other, challenge ideas, and empower decision-making.
Core Benefits
- Holiday: 182 hours (26 days)
- Quilter Incentive Scheme: All employees are eligible to participate, incentivising business performance and contribution.
- Pension Scheme: A non-contributory scheme that can be boosted through personal contributions.
- Healthcare Cash Plan: Jersey employees only.
- Benefit Allowance: A cash benefit in lieu of some core benefits.
- Flexible Benefits: Available to UK employees, payable via salary deduction.
Data Management Analyst employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management Analyst
✨Tip Number 1
Familiarise yourself with SQL and data workflows, as these are crucial for the Data Management Analyst role. Consider taking a short online course or working on personal projects to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 2
Network with professionals in the financial services sector, especially those involved in data management. Attend industry events or join relevant online forums to gain insights and potentially connect with current employees at Quilter who can provide valuable information about the company culture and expectations.
✨Tip Number 3
Showcase your problem-solving and critical thinking skills during interviews by preparing examples from your past experiences. Think of specific challenges you faced in data management and how you overcame them, as this will highlight your ability to adapt and succeed in a dynamic environment.
✨Tip Number 4
Research Quilter's values and recent initiatives to understand their focus on customer-centricity and innovation. Be ready to discuss how your personal values align with theirs and how you can contribute to their mission of transforming financial futures.
We think you need these skills to ace Data Management Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Management Analyst at Quilter. Familiarise yourself with key terms like data quality, SQL, and data workflows to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience in data management or financial services. Be specific about your skills in SQL and any relevant projects you've worked on that demonstrate your ability to maintain data integrity and quality.
Showcase Problem-Solving Skills: Quilter values problem-solving and critical thinking. Include examples in your application where you've successfully tackled challenges in data management or analysis, showcasing your adaptability and attention to detail.
Tailor Your Application: Make sure to customise your CV and cover letter for this specific role. Use keywords from the job description, such as 'data governance', 'stakeholder relationships', and 'exception management', to demonstrate that you are a perfect fit for the position.
How to prepare for a job interview at Quilter
✨Showcase Your SQL Skills
Since the role requires good knowledge of SQL, be prepared to discuss your experience with it. Bring examples of how you've used SQL in past projects, particularly in data workflows and quality checks.
✨Demonstrate Data Management Experience
Highlight your previous roles in data management, especially within financial services. Be ready to discuss specific challenges you faced and how you overcame them, showcasing your problem-solving skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your critical thinking and adaptability. Prepare scenarios where you had to manage data quality issues or implement new processes, and explain your approach and the outcomes.
✨Emphasise Relationship Building
The role involves maintaining effective relationships with stakeholders. Share examples of how you've successfully collaborated with teams or clients in the past, demonstrating your communication and teamwork skills.
