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, 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 Data Operations Analyst in London
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Credit Benchmark. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Data Operations Analyst in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Credit Benchmark.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Credit Benchmark's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Credit Benchmark
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Credit Benchmark.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Credit Benchmark will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Credit Benchmark employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.