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- Tasks: Join our data management team to assist clients with their reporting obligations.
- Company: We're a leading securitisation service supplier based in Canary Wharf.
- Benefits: Enjoy clear progression opportunities and a healthy working environment, with 2 days in-office required.
- Why this job: This role offers a chance to work in capital markets and develop your analytical skills.
- Qualifications: 2-4 years of Capital Markets experience, ideally in securitisation, plus VBA, Python, and SQL knowledge.
- Other info: Full UK working rights are required; visa sponsorship is not available.
The predicted salary is between 36000 - 60000 £ per year.
A leading securitisation service supplier is expanding its data management team in Canary Wharf. They're seeking a Data Analyst with capital markets experience to join the team, focused on assisting clients with their reporting obligations.
They offer clear progression opportunities and a healthy working environment. 2 days minimum is required in their offices.
Requirements
- 2-4 years of Capital Markets experience, ideally within securitisation (ABS, RMBS)
- Experience working with financial datasets and credit rating agencies is strongly beneficial
- VBA, Python and SQL knowledge
- Full UK working rights – visa sponsorship is NOT possible
APPLY
Financial Data Analyst employer: RCQ Associates - Financial Markets Specialists
Contact Detail:
RCQ Associates - Financial Markets Specialists Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst
✨Tip Number 1
Make sure to highlight your experience in capital markets, especially if you have worked with securitisation products like ABS or RMBS. Tailor your discussions to showcase how your background aligns with the specific needs of the role.
✨Tip Number 2
Familiarize yourself with the latest trends and regulations in the capital markets sector. Being knowledgeable about current events can help you stand out during interviews and demonstrate your commitment to the field.
✨Tip Number 3
Brush up on your technical skills, particularly in VBA, Python, and SQL. Consider working on a small project or case study that showcases your ability to manipulate financial datasets effectively.
✨Tip Number 4
Network with professionals in the industry, especially those who work in data management or capital markets. Engaging with them can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Financial Data Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 2-4 years of Capital Markets experience, particularly in securitisation. Use specific examples from your past roles that demonstrate your expertise in ABS and RMBS.
Showcase Technical Skills: Clearly outline your proficiency in VBA, Python, and SQL. Provide examples of how you've used these skills in previous positions to analyze financial datasets or assist clients with reporting obligations.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to align with the job description. Mention the company's focus on data management and client reporting, and express your enthusiasm for contributing to their team.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in a financial data analyst role.
How to prepare for a job interview at RCQ Associates - Financial Markets Specialists
✨Showcase Your Capital Markets Experience
Make sure to highlight your 2-4 years of experience in capital markets, especially if you have worked with securitisation products like ABS or RMBS. Be prepared to discuss specific projects or tasks that demonstrate your expertise in this area.
✨Demonstrate Technical Proficiency
Since knowledge of VBA, Python, and SQL is crucial for this role, be ready to discuss your experience with these programming languages. You might even be asked to solve a technical problem during the interview, so brush up on your coding skills beforehand.
✨Understand Financial Datasets
Familiarize yourself with the types of financial datasets you might encounter in this role. Be prepared to discuss how you've worked with data from credit rating agencies and how you can assist clients with their reporting obligations.
✨Emphasize Team Collaboration
Since the company values a healthy working environment, be sure to express your ability to work well in a team. Share examples of how you've collaborated with colleagues in previous roles, particularly in data management or analysis.
