Data Operations Analyst (Permanent) in London

Data Operations Analyst (Permanent) in London

London Full-Time 30000 - 40000 £ / year (est.) On-site
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At a Glance

  • Tasks: Join a dynamic team to manage and enhance our credit risk data operations.
  • Company: Credit Benchmark, a leading financial data analytics company in London.
  • Benefits: Enjoy hybrid working, competitive holidays, private health insurance, and professional development.
  • Other info: We value diversity and inclusion, fostering a supportive work environment.
  • Why this job: Kickstart your career in finance while solving real-world data challenges.
  • Qualifications: Recent graduates with a degree in Computer Science, Finance, or related fields are encouraged to apply.

The predicted salary is between 30000 - 40000 £ per year.

Credit Benchmark is a financial data analytics company bringing together the credit risk assessments of the world’s leading financial institutions to deliver greater visibility into the credit quality of individual entities. We are growing rapidly and are looking for a permanent, full time Data Operations Analyst to join our London Team. This role is based in our London office with hybrid working.

This is a great opportunity to join a growing organisation that builds a unique financial data service harnessing intelligence from some of the most prominent financial institutions around the world. Reporting to the Head of Client Operations, the ideal candidate will be a recent graduate, ready to start a career in the financial industry with an interest in credit risk and the broader financial markets. To succeed in this role, the candidate will bring a mix of innovative thinking, problem-solving, technical expertise, and strong relationship-building skills.

As a Data Operations Analyst, the candidate will:

  • Be part of a busy and diverse team and will play a key part in maintaining and helping to develop our growing credit risk data service.
  • Be responsible for overseeing our core data operations: from working with data contributors to ensuring quality and accuracy of data input & output, to managing the processing of complex datasets, and diving into such datasets to resolve problems and provide value-added analysis and customer support.
  • Help to implement and optimize data-driven solutions and process enhancements that drive efficiency and innovation.
  • Use technical expertise and analytical skills to solve complex data challenges and enable data-focused decision making within the team.
  • Ownership and development of our data processing operations and data solutions: Identify, prioritise and resolve data quality issues and exceptions.
  • Quality and execution of service: Partnership with our data contributors: build and manage professional client relationships, to ensure smooth running of the data aggregation process and effective handling, escalation and response to queries/issues.
  • Working with other internal teams such as Sales, Analytics or Product to jointly respond to client queries, ad-hoc projects, or handle other internal projects, queries or developments.
  • Develop and implement continuous improvements and solutions to operational processes, increasing accuracy and efficiency of data processing.

Demonstrate interest and knowledge in financial markets, the economy especially around credit risk. Have a University or College degree in Computer Science, Finance, Economics or similar degree in a field with a substantial numerical/quantitative component. Have prior experience working in a data processing role within an organisation or professional environment. Possess excellent administrative and project management skills to be able to manage workload priorities and effectively deliver to deadlines. Demonstrate Excel proficiency and familiarity with R, Python, and SQL for data analysis.

Hybrid working and flexibility: Healthy work/life balance. Holidays: Competitive holiday package. Private health Insurance cover + companywide wellbeing days. Pension: Opportunity to join company pension plan with financial education and support. Travel: Cycle to work scheme. Supportive environment and generous paid leave for new parents. Professional development opportunities through seminars, conferences, training and courses and internal mentorship. Community: Our commitment to diversity, equity, and inclusion.

At Credit Benchmark, we are deeply committed to diversity, equity and inclusion. This means celebrating who we are as individuals and as a team because our company and culture reflect the sum of our employees. We empower each other to bring our authentic selves to work and champion our colleagues’ development and achievements. Our diversity brings a multitude of perspectives and ideas and is imperative to the success of our business. We are dedicated to ensuring that principles of diversity, equity and inclusion are rooted in Credit Benchmark’s DNA. Credit Benchmark is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon any legally protected characteristic and are committed to fostering a working culture that is free of discrimination and harassment.

Credit Benchmark is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures and employment. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please let us know by contacting our HR team at careers@creditbenchmark.

Data Operations Analyst (Permanent) in London employer: Credit Benchmark

Credit Benchmark is an exceptional employer, offering a unique opportunity for marketing professionals to thrive in a dynamic and supportive environment. With a commitment to employee growth, competitive benefits including private health insurance and a pension plan, and a culture that values diversity and inclusion, you will have the chance to make a significant impact while working alongside experienced leaders in the financial services sector. The hybrid work model allows for flexibility, ensuring a balanced work-life experience in the vibrant city of London.

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Contact Details:

Credit Benchmark Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Operations Analyst (Permanent) in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. Building relationships can open doors that a CV just can't.

✨Tip Number 2

Prepare for interviews by researching Credit Benchmark and understanding their data operations. Show genuine interest in credit risk and be ready to discuss how your skills can contribute to their mission.

✨Tip Number 3

Practice your problem-solving skills! Be ready to tackle hypothetical data challenges during interviews. Think aloud to demonstrate your analytical process and innovative thinking.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Credit Benchmark.

We think you need these skills to ace Data Operations Analyst (Permanent) in London

Data Analysis
Problem-Solving Skills
Technical Expertise
Relationship-Building Skills
Data Quality Management
Process Optimization
Excel Proficiency

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Operations Analyst role. Highlight any relevant experience, especially in data processing or financial markets, and don’t forget to showcase your technical skills like Excel, R, Python, and SQL.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for credit risk and the financial industry. Share specific examples of how your innovative thinking and problem-solving skills can contribute to our team at Credit Benchmark.

Showcase Your Analytical Skills:In your application, demonstrate your analytical skills by discussing any past projects or experiences where you tackled complex data challenges. This will show us that you’re ready to dive into datasets and provide valuable insights.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Credit Benchmark

✨Know Your Data

Before the interview, brush up on your knowledge of data operations and credit risk. Familiarise yourself with common data processing techniques and tools like Excel, R, Python, and SQL. Being able to discuss these topics confidently will show that you're ready to dive into the role.

✨Showcase Problem-Solving Skills

Prepare examples from your past experiences where you've tackled complex data challenges. Think about how you identified issues, implemented solutions, and what the outcomes were. This will demonstrate your innovative thinking and problem-solving abilities, which are crucial for a Data Operations Analyst.

✨Build Relationships

Since the role involves managing relationships with data contributors, think about how you can showcase your interpersonal skills. Prepare to discuss any relevant experiences where you've successfully collaborated with others or resolved conflicts. This will highlight your ability to build professional relationships.

✨Stay Informed About Financial Markets

Make sure you're up-to-date with current trends in financial markets and credit risk. Read articles, follow relevant news, and be prepared to discuss your insights during the interview. Showing genuine interest in the industry will set you apart as a candidate who is eager to learn and grow.