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For Companies At a Glance
- Tasks: Join a team to develop innovative tools for credit analysts and portfolio managers.
- Company: A leading global investment manager expanding their European operations.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Shape the future of investment decisions while working with cutting-edge technology.
- Qualifications: Strong BA background in asset management, especially in credit research and fixed income.
- Other info: Ideal for those passionate about data analysis and digital transformation in finance.
The predicted salary is between 54000 - 84000 £ per year.
Job Description
Our client, a leading global investment manager, are growing their European operation and are looking to hire a Business Analyst to join their Credit Research Technology team.
You will be supporting a dynamic group focussed on building innovative research and investment tools, used by credit analysts and portfolio managers. Working alongside product owners, developers and investment professionals you will play a pivotal role in shaping solutions to drive smarter investment decisions across fixed income portfolios specifically.
To be successful in this role you will need a strong BA background with deep asset management experience, specifically within credit research, and specifically related to fixed income.
Key responsibilities will include:
- Leading the definition and delivery of business and system requirements to support credit research, model-driven analysis and portfolio management tools.
- Being the SME and key point of contact between credit analysts, portfolio managers and technology teams, to ensure that business needs are translated into scalable, high-performance technical solutions.
- Helping shape the data strategy for credit research, integrating credit model data, issuer fundamentals, ESG inputs, and alternative datasets into the research ecosystem.
- Influencing the team’s digital transformation initiatives.
- Providing day to day support to the business in their use of internal tools and platforms.
Key requirements:
- Strong and demonstrable business analysis background gained in the asset management industry.
- Specific industry experience in Credit Research, particularly related to Fixed Income.
- Strong data analysis experience and the ability to interpret complex data and investment processes.
- Experience in data mapping and transformation.
- Experience with data visualisation tools such as Power BI and Tableau.
- Proficiency in SQL, AWS and Python.
- Strong communication skills and the ability to clearly translate technical issues into business context and vice versa.
- Exposure to ML models and AI frameworks in financial modelling is desirable.
Senior Business Analyst - Credit Research & Fixed Income employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Business Analyst - Credit Research & Fixed Income
✨Tip Number 1
Network with professionals in the asset management industry, especially those who work in credit research and fixed income. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends and tools in the field.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, AWS, and data visualisation platforms like Power BI and Tableau. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to the role.
✨Tip Number 3
Prepare to discuss your experience with data analysis and how you've successfully translated complex data into actionable insights. Be ready to provide examples of how you've influenced digital transformation initiatives in previous roles.
✨Tip Number 4
Showcase your communication skills by practising how to clearly explain technical concepts to non-technical stakeholders. This will be crucial in your role as a liaison between credit analysts, portfolio managers, and technology teams.
We think you need these skills to ace Senior Business Analyst - Credit Research & Fixed Income
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong business analysis background and specific experience in credit research and fixed income. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your skills align with the company's needs. Mention your experience with data analysis, SQL, and any relevant tools like Power BI or Tableau.
Showcase Relevant Projects: If you have worked on projects related to credit research or fixed income, be sure to include these in your application. Describe your role and the impact of your contributions to highlight your expertise.
Prepare for Technical Questions: Be ready to discuss your experience with data mapping, transformation, and visualisation tools during the interview process. Brush up on your knowledge of SQL, AWS, and Python, as well as any exposure to ML models and AI frameworks.
How to prepare for a job interview at McCabe & Barton
✨Showcase Your BA Expertise
Make sure to highlight your strong business analysis background, especially in asset management. Be prepared to discuss specific projects where you've successfully defined and delivered business and system requirements.
✨Demonstrate Your Technical Skills
Familiarise yourself with the technical tools mentioned in the job description, such as SQL, AWS, and Python. Be ready to provide examples of how you've used these tools in previous roles, particularly in data mapping and transformation.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice explaining complex technical issues in simple terms, as you'll need to bridge the gap between credit analysts, portfolio managers, and technology teams.
✨Prepare for Data Strategy Discussions
Since shaping the data strategy is a key responsibility, think about how you would integrate various data sources into a research ecosystem. Be ready to discuss your experience with data visualisation tools like Power BI and Tableau, and how they can enhance decision-making.
