At a Glance
- Tasks: Join a dynamic team to manage and enhance credit risk data operations.
- Company: Credit Benchmark, a leading financial data analytics firm.
- Benefits: Hybrid working, competitive holidays, private health insurance, and professional development.
- Other info: Embrace diversity and inclusion in a supportive work environment.
- Why this job: Kickstart your career in finance while making a real impact on data-driven decisions.
- Qualifications: Recent graduate with a degree in Computer Science, Finance, or Economics; data processing experience preferred.
The predicted salary is between 28000 - 35000 £ 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.
Pension Operations Data Analyst 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.
StudySmarter Expert Advice🤫
We think this is how you could land Pension Operations Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the financial industry, especially those working in data operations or credit risk. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on a job or can offer valuable insights.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves data analysis, make sure you're comfortable with Excel, R, Python, and SQL. Practise explaining complex data concepts in simple terms – it shows you can communicate effectively with non-technical team members.
✨Tip Number 3
Show your passion for the financial markets! Read up on current trends in credit risk and be ready to discuss them during interviews. This will demonstrate your genuine interest in the field and help you stand out as a candidate who’s eager to learn and grow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. So, get your application in and let’s see what you’ve got!
We think you need these skills to ace Pension Operations Data Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Data Operations Analyst. Highlight any relevant experience, especially in data processing and financial markets, to show us you’re a great fit for the team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for credit risk and how your skills align with our needs. We love seeing genuine enthusiasm for the role!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Excel, R, Python, and SQL. We’re looking for someone who can tackle complex data challenges, so let us know how you’ve used these tools in the past.
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 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 processing and analytics. Familiarise yourself with tools like Excel, R, Python, and SQL, as these are crucial for the role. Be ready to discuss how you've used these tools in past experiences or projects.
✨Understand Credit Risk
Since the role involves credit risk data, make sure you have a solid understanding of what credit risk is and why it matters in the financial industry. Research recent trends and news in the financial markets to show your genuine interest and knowledge during the interview.
✨Showcase Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific situations where you identified data quality issues and how you resolved them. This will demonstrate your analytical thinking and problem-solving abilities, which are key for this position.
✨Build Rapport
Since relationship-building is important in this role, practice how you'll connect with your interviewers. Be friendly, ask insightful questions about the team and company culture, and express your enthusiasm for working collaboratively. This will help you stand out as a candidate who fits well within their diverse team.