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For Companies At a Glance
- Tasks: Support data analysis, modeling, and forecasting for SME loan portfolios.
- Company: Join the British Business Bank, focused on enhancing SME finance.
- Benefits: Enjoy 30 days leave, flexible working, and a 15% pension contribution.
- Why this job: Shape future product design while developing your analytics skills in a supportive team.
- Qualifications: Knowledge of statistical programming languages like SAS, Python, or R is essential.
- Other info: Hybrid work model with office attendance expected 2 days a week.
The predicted salary is between 22400 - 27200 £ per year.
Analyst – Analytics
Application Deadline: 24 February 2025
Department: Products
Employment Type: Permanent
Location: London
Compensation: £28,000 – £34,000 / year
Description
Analyst, Analytics
Location: London / Hybrid Working (Expectation that you will attend an office 2 days per week)
Contract: Permanent
Hours: Full time 37.5 hours per week/flexible days and/or hours (Mon-Fri)
Salary: Up to £34,000 Depending on experience
Please note that any same band and job family internal moves will not present any pay increase.
Key Benefits
- 30 days annual leave plus bank holidays, opportunity to buy and sell up to 5 days holiday
- 15% employer pension contribution
- Flexible working
- Cycle to work scheme, healthcare cash plan, Group Income Protection and life assurance
- Paid voluntary days, maternity, paternity, adoption, and shared parental leave
- Benefits designed to suit your lifestyle – from discounts on retail and dining, to health and wellbeing, travel, and technology…and plenty more
The Role
The Banking Products team of the British Business Bank originates, structures and manages cash and risk transfer transactions of SME loan and asset finance portfolios. The team executes transactions with SME lenders such as banks and non-bank financial institutions and seeks to address funding, security and capital constraints these entities may face that prevent them from increasing their credit activity in the small business sector.
As an Analyst within the Analytics function of the Banking Products team, your role will be to support the team’s data analysis, modelling, and forecasting capabilities.
You will work across the Banking Products team, gaining a detailed understanding of the product suite and how products are originated, executed, and managed. This includes working with and providing support to senior deal and origination team members to better understand the requirements for developing the Analytics function.
You will also work closely with colleagues in the Risk and Finance functions to support the effective measurement and management of credit risk, providing predictive and descriptive analytics on the SME loan portfolios.
As part of the Analytics function, you will ultimately help shape future product design by providing the Bank with portfolio and economic insights.
There is an expectation that you will share your knowledge with peers and work to develop yourself professionally within the team. You will have a willingness to obtain a relevant professional qualification (such as CFA/CAIA/FRM or similar) and be able to demonstrate a keen interest in the SME finance marketplace and SME credit portfolio characteristics.
To be considered for this role you must have knowledge and experience of one or more statistical programming languages such as SAS, Python, or R. Experience in database management languages (such as SQL), VBA, or knowledge of financial risk modelling would also be advantageous.
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Analyst - Analytics employer: British Business Bank plc
Contact Detail:
British Business Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - Analytics
✨Tip Number 1
Familiarize yourself with the specific statistical programming languages mentioned in the job description, such as SAS, Python, or R. Consider working on personal projects or contributing to open-source projects that utilize these languages to showcase your skills.
✨Tip Number 2
Network with professionals in the SME finance sector. Attend industry events or webinars where you can meet people who work in similar roles. This can provide you with insights into the role and potentially lead to referrals.
✨Tip Number 3
Stay updated on trends and developments in the SME finance marketplace. Follow relevant news sources and publications to understand the challenges and opportunities in this sector, which will help you during interviews.
✨Tip Number 4
Consider obtaining a professional qualification like CFA, CAIA, or FRM. This not only enhances your resume but also demonstrates your commitment to the field and your willingness to grow professionally.
We think you need these skills to ace Analyst - Analytics
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Analyst - Analytics position. Understand the key responsibilities and required skills, especially the importance of statistical programming languages like SAS, Python, or R.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, modelling, and forecasting. Emphasize any experience you have with SME finance and credit risk management, as well as your proficiency in programming languages and database management.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for the SME finance marketplace. Discuss how your skills and experiences align with the role and express your willingness to pursue relevant professional qualifications.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your application is clear, concise, and free of mistakes to make a strong impression.
How to prepare for a job interview at British Business Bank plc
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with statistical programming languages like SAS, Python, or R. Highlight specific projects where you utilized these skills to analyze data or create models.
✨Understand the SME Finance Landscape
Demonstrate your knowledge of the SME finance marketplace and the characteristics of SME credit portfolios. This will show your genuine interest in the role and the industry.
✨Prepare for Technical Questions
Expect questions related to database management languages such as SQL and financial risk modeling. Brush up on these topics and be ready to explain your thought process during problem-solving scenarios.
✨Express Your Willingness to Learn
Convey your eagerness to obtain relevant professional qualifications like CFA, CAIA, or FRM. This shows your commitment to professional development and aligns with the team's expectations.
