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- Tasks: Analyse credit risk data and create insightful reports for stakeholders.
- Company: Join a leading financial institution with a focus on innovation and teamwork.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the finance world while developing your analytical skills.
- Qualifications: 1 year of data analysis experience and proficiency in SQL/Python required.
- Other info: Fast-paced environment with diverse teams and excellent career advancement potential.
The predicted salary is between 28800 - 48000 £ per year.
The Customer Analytics and Oversight Team, as part of the Credit Risk Team functions as a Second Line of Defense role, responsible for developing, maintaining, and enhancing risk reporting and performing analytics to assess the credit quality of a range of new consumer lending products. As a Credit Risk Reporting - Analyst in Credit Risk Reporting team, you will have the opportunity to work on a range of portfolio reports, providing clear and detail oriented presentations at monthly risk forums and to senior stakeholders. The role provides an excellent opportunity for an individual who thrives in a fast paced environment where strong analytical skills, business acumen, and excellent communication skills will be fully leveraged.
Job responsibilities:
- Run monthly metrics and KRI reporting to track profile and performance on our retail credit portfolio.
- Participate in preparing regular and time-sensitive ad-hoc deliverables, as required.
- Collaborate with risk reporting, risk management, finance and technology teams across locations, as required.
- Contribute to the analysis and preparation of reports detailing inherent risks in the ICB credit risk portfolio for both internal and external use.
- Produce enhancements to underlying report production processes, where required.
- Work with technology to ensure system enhancements are aligned with the needs of management reporting.
Required qualifications, capabilities and skills:
- Candidate should have a minimum 1 year experience as a data analyst.
- Minimum Bachelor’s degree level education.
- Proven ability and expertise with full suite of Microsoft packages, SQL / Python Programming.
- Ability to work both autonomously and within teams inclusively of others across a diverse level of seniority, based in different locations and functions.
- Ability to work with large, complex data sets with a sense of direct ownership.
- Excellent written and verbal communication skills.
Credit Risk Reporting - Analyst employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Reporting - Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in credit risk or analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your analytical skills and understanding of credit risk. Be ready to discuss how you've tackled complex data sets in the past and how you can bring that experience to the team.
✨Tip Number 3
Showcase your communication skills! Practice presenting your ideas clearly and concisely, as you'll need to impress senior stakeholders with your reports and findings during the interview.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Credit Risk Reporting - Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Credit Risk Reporting role. Highlight your experience with data analysis, Microsoft packages, and any relevant programming skills like SQL or Python. We want to see how your background fits with what we're looking for!
Showcase Your Communication Skills: Since this role involves presenting reports to senior stakeholders, it's crucial to demonstrate your excellent written and verbal communication skills. Use clear language in your application and consider including examples of how you've effectively communicated complex data in the past.
Highlight Your Analytical Skills: We’re on the lookout for strong analytical skills, so make sure to showcase any relevant projects or experiences where you’ve worked with large data sets. Explain how you approached the analysis and what insights you derived from it – we love a good story!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Numbers
As a Credit Risk Reporting - Analyst, you'll be dealing with metrics and data all the time. Brush up on your understanding of key performance indicators (KPIs) and risk metrics relevant to consumer lending. Be ready to discuss how you've used data in past roles to drive decisions or improvements.
✨Showcase Your Technical Skills
Make sure you highlight your experience with SQL and Python during the interview. Prepare examples of how you've used these tools to analyse large datasets or automate reporting processes. This will demonstrate your technical prowess and ability to contribute from day one.
✨Communicate Clearly
Since you'll be presenting reports to senior stakeholders, practice explaining complex data in simple terms. Use examples from your previous work where you successfully communicated findings to non-technical audiences. This will show that you can bridge the gap between data analysis and business insights.
✨Collaborate and Adapt
The role requires working with various teams across different locations. Be prepared to discuss your experience in collaborative projects and how you adapt to different working styles. Share specific instances where you worked effectively in a team to achieve a common goal, especially in fast-paced environments.
