At a Glance
- Tasks: Join our team to manage and optimise financial data operations.
- Company: Credit Benchmark is a leading financial data analytics company.
- Benefits: Enjoy hybrid working, competitive holidays, private health insurance, and professional development opportunities.
- Why this job: Gain unique exposure to various departments while tackling complex data challenges in a supportive environment.
- Qualifications: A degree in Computer Science, Finance, or Economics; 1-3 years of relevant experience preferred.
- Other info: We value diversity and inclusion, ensuring a respectful workplace for all.
The predicted salary is between 28800 - 43200 £ per year.
Join our team of technology, financial services and data experts. 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 Content Operations Analyst to join our London Team. This role is based in our London office with hybrid working.
The role involves reporting to the Head of Client Operations. The ideal candidate will be 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. 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 candidate will collaborate with different teams across the company, including Product, Analytics, Sales and Account Management, providing unique exposure and insight into numerous departments. As a Content Operations Analyst, the candidate will be part of a busy and diverse team and will play a key part in maintaining and helping develop our growing credit risk data service.
Responsibilities 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.
- Generate value add innovations to improve and provide additional insight into our product offering and data solutions.
What we are looking for:
- 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 strong analytical, numerical and problem-solving skills, with good attention to detail.
- Possess the ability to understand technical complexity.
- Excellent administrative and project management skills.
- 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 to improve existing processes.
- Have excellent communication skills, both oral and written.
- Experience working with market data products in data management or data processing roles.
It would be required for the candidate to also have:
- 1-3 years of experience, preferably in financial services.
- Experience using any of the following: Excel (including VBA), SQL, R, Python.
Benefits include:
- 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 also 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.
Content Operations Analyst employer: Credit Benchmark
Contact Detail:
Credit Benchmark Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Content Operations Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk and financial markets. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field, which is crucial for a role like Content Operations Analyst.
✨Tip Number 2
Network with professionals in the financial services industry, especially those who work in data management or analytics. Attend relevant events or webinars to make connections that could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Brush up on your technical skills, particularly in Excel, SQL, R, and Python. Being able to showcase your proficiency in these tools during discussions can set you apart from other candidates and show that you're ready to tackle the data challenges of the role.
✨Tip Number 4
Prepare to discuss how you've previously identified and resolved data quality issues. Having concrete examples ready will illustrate your problem-solving skills and your ability to contribute to the continuous improvement of operational processes at Credit Benchmark.
We think you need these skills to ace Content Operations Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of Content Operations Analyst. Emphasise any analytical, numerical, or problem-solving skills, as well as your familiarity with financial markets and data management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the financial industry and credit risk. Mention specific experiences that demonstrate your analytical abilities and how they relate to the responsibilities outlined in the job description.
Highlight Technical Skills: Clearly list any technical skills you possess, such as proficiency in Excel (including VBA), SQL, R, or Python. Provide examples of how you've used these skills in previous roles or projects to solve data challenges.
Showcase Team Collaboration: Since the role involves working with various teams, include examples in your application that illustrate your ability to collaborate effectively. Highlight any past experiences where you worked cross-functionally to achieve a common goal.
How to prepare for a job interview at Credit Benchmark
✨Show Your Passion for Financial Markets
Make sure to express your genuine interest in financial markets and credit risk during the interview. Research recent trends or news in the industry and be prepared to discuss how they relate to the role.
✨Demonstrate Analytical Skills
Prepare to showcase your analytical and problem-solving skills. You might be asked to solve a data-related challenge, so practice explaining your thought process clearly and logically.
✨Familiarise Yourself with Relevant Tools
Since the role requires experience with tools like Excel, SQL, R, or Python, brush up on your skills with these technologies. Be ready to discuss any relevant projects or experiences where you used these tools effectively.
✨Highlight Team Collaboration Experience
As the role involves working with various teams, share examples of how you've successfully collaborated in the past. Emphasise your communication skills and ability to manage relationships with different stakeholders.