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.
- Benefits: Enjoy hybrid working, competitive holidays, private health insurance, and professional development opportunities.
- Other info: Be part of a diverse and inclusive culture that values your unique perspective.
- Why this job: Kickstart your career in finance while making a real impact on data-driven decisions.
- Qualifications: Recent graduates or those with 1-3 years of experience in data processing are welcome.
The predicted salary is between 28800 - 43200 € 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.
The role
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. We would also consider someone with some existing experience (1- 3 years) within the industry.
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.
Role responsibilities will include:
- 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: Ensuring the timely delivery of Credit Benchmark services, meeting service level targets.
- 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.
What we are looking for
Ideally the candidate will:
- 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.
- Have strong analytical, numerical and problem-solving skills, with good attention to detail.
- Possess excellent administrative and project management skills to be able to manage workload priorities and effectively deliver to deadlines.
- Have the ability to work under pressure in a professional manner.
- Be a self-starter with the ability to work independently as well as collaborate with team members.
- Be diligent, proactive, driven and have the ability to demonstrate initiative.
- Have excellent communication, and stakeholder engagement skills.
- Demonstrate Excel proficiency and familiarity with R, Python, and SQL for data analysis.
Benefits
- Hybrid working and flexibility: Healthy work/life balance.
- Holidays: Competitive holiday package.
- Health and Wellbeing: Private health Insurance cover + companywide wellbeing days.
- Pension: Opportunity to join company pension plan with financial education and support.
- Travel: Cycle to work scheme.
- Family Friendly: Supportive environment and generous paid leave for new parents.
- Learning and Development: Professional development opportunities through seminars, conferences, training and courses and internal mentorship.
- Community: Supportive, collaborative and social team environment.
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 strive to create a mindful and respectful environment that includes fairness, kindness, and understanding. 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. We continue to build on these principles as our company grows while retaining the progress we have made as a team.
Credit Benchmark is proud to be an Equal Employment Opportunity employer. We believe no one should be at a professional disadvantage because of their background. 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.com.
Data Operations Analyst in London employer: Credit Benchmark
Credit Benchmark is an exceptional employer that fosters a supportive and collaborative work culture in the heart of London. With a strong commitment to employee growth, we offer professional development opportunities, hybrid working arrangements for a healthy work/life balance, and a diverse environment that values every individual's contributions. Join us to be part of a dynamic team that is at the forefront of financial data analytics, where your innovative thinking and problem-solving skills will be nurtured and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the financial industry, especially those who work at Credit Benchmark. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of credit risk and financial markets. Show us that you're not just interested but genuinely passionate about the field. We love candidates who can engage in meaningful discussions!
✨Tip Number 3
Practice your problem-solving skills! We want to see how you tackle complex data challenges. Try some case studies or data analysis exercises to get into the right mindset before your interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us that you’re serious about joining our team at Credit Benchmark.
We think you need these skills to ace Data Operations Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Operations Analyst role. Highlight any relevant experience or skills that match the job description, especially around data processing and financial markets.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for the financial industry and how your background makes you a great fit for the team at Credit Benchmark.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! If you’ve got experience with Excel, R, Python, or SQL, make sure these are front and centre in your application.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Credit Benchmark
✨Know Your Data
Brush up on your knowledge of data processing and analytics, especially in the context of financial markets and credit risk. Be prepared to discuss how you’ve used tools like Excel, R, Python, or SQL in past projects or studies.
✨Showcase Problem-Solving Skills
Think of specific examples where you've tackled complex data challenges. During the interview, share these experiences to demonstrate your analytical thinking and problem-solving abilities, which are crucial for a Data Operations Analyst.
✨Understand the Company Culture
Familiarise yourself with Credit Benchmark’s commitment to diversity, equity, and inclusion. Be ready to discuss how you can contribute to a supportive and collaborative team environment, as this aligns with their core values.
✨Prepare Questions
Have thoughtful questions ready about the role, team dynamics, and company goals. This shows your genuine interest in the position and helps you assess if it’s the right fit for you, while also demonstrating your proactive nature.