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- Tasks: Join us as a Business Analyst to enhance Credit Risk processes through data analytics.
- Company: Be part of a leading global wholesale banking group with a progressive work culture.
- Benefits: Enjoy hybrid working, competitive salary, bonuses, and great work-life balance.
- Why this job: Make an impact by streamlining operations and developing innovative solutions in a dynamic environment.
- Qualifications: 2-5+ years in data analytics; SQL, Alteryx experience preferred; credit risk knowledge is a plus.
- Other info: Ideal for quick learners eager to grow in the finance sector.
The predicted salary is between 52000 - 78000 £ per year.
We are recruiting for a Business Analyst / Data Analytics role within the Corporate Credit Risk department of a successful global wholesale banking group. The organization offers a progressive work environment, hybrid working, good work-life balance, and opportunities for long-term career development.
The role involves building, designing, and implementing data analytics for the Credit Risk function. The position collaborates with Credit departments to streamline operations and create effective, market-standard models. It requires technical and analytical skills to develop innovative solutions and integrate new processes seamlessly.
Search Criteria:
- 2-5+ years of data analytics experience, with exposure to Alteryx preferred, but candidates with Power BI, Tableau, SQL, etc., are also considered.
- Strong ability to interpret data, build analytics, analyse, and visualise data for non-technical colleagues.
- Experience in Corporate Credit Risk is preferred; Retail Credit Risk candidates with quick learning ability are also welcome.
Essentials of the Role:
- Assist in designing a Target Operating Model (TOM) by conducting business and gap analysis to improve credit risk processes and reporting.
- Perform detailed data analysis to assess data quality and implement solutions with IT or Data teams.
- Act as a liaison between business and software development teams to ensure alignment and seamless integration.
Candidate Requirements:
- Proficiency in SQL, Alteryx, and similar tools.
- Experience with credit risk systems and compliance with EBA/ECB regulations.
- Ability to contribute to incremental improvements towards larger goals.
Key Tasks and Responsibilities:
- Understand the bank’s Credit Risk Management framework, policies, and IT systems.
- Analyse current processes, identify gaps, and define future state processes and reporting needs.
- Conduct data analysis to evaluate data sources, quality, and enhancement opportunities.
- Support solution development and act as a bridge between business and development teams.
- Work with stakeholders to implement new solutions and support project reporting.
Preferred Skills, Knowledge, and Experience:
- Proficiency in SQL, Alteryx, and familiarity with credit risk regulations (EBA/ECB).
- Knowledge of EBA guidelines, Loan Origination, NPL, UTP, and leveraged transactions.
- Understanding of corporate risk analysis or asset-backed lending risk assessment.
- Programming skills (VBA, Python, R) are a plus.
- Strong communication, collaboration, curiosity, and problem-solving skills.
Business Analyst / Data Analytics - Credit Risk - AVP - Global Wholesale Banking Group - Up to [...] employer: LH Partners
Contact Detail:
LH Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst / Data Analytics - Credit Risk - AVP - Global Wholesale Banking Group - Up to [...]
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL and Alteryx. Consider taking online courses or tutorials to enhance your skills in these areas, as practical knowledge will set you apart during interviews.
✨Tip Number 2
Network with professionals in the credit risk and data analytics fields. Attend industry events or join relevant online forums to connect with people who can provide insights into the role and potentially refer you to opportunities within their organisations.
✨Tip Number 3
Prepare to discuss your experience with data analysis and how it relates to credit risk. Be ready to share specific examples of how you've improved processes or solved problems in previous roles, as this will demonstrate your capability to contribute effectively.
✨Tip Number 4
Research the company’s culture and values, especially regarding their approach to credit risk management. Tailoring your conversation during interviews to align with their ethos can show that you're not just a fit for the role, but also for the organisation as a whole.
We think you need these skills to ace Business Analyst / Data Analytics - Credit Risk - AVP - Global Wholesale Banking Group - Up to [...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics and credit risk. Use keywords from the job description, such as SQL, Alteryx, and data visualisation tools like Power BI or Tableau.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the Corporate Credit Risk department's needs. Mention specific projects or experiences where you've successfully implemented data analytics solutions.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in SQL and Alteryx. Provide examples of how you've used these tools to improve processes or solve problems in previous roles.
Highlight Collaboration Experience: Emphasise your ability to work with both business and IT teams. Include examples of how you've acted as a liaison in past projects to ensure successful integration of new processes.
How to prepare for a job interview at LH Partners
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Alteryx, and any other relevant tools during the interview. Be prepared to discuss specific projects where you used these skills to solve problems or improve processes.
✨Understand Credit Risk Fundamentals
Familiarise yourself with the bank’s Credit Risk Management framework and relevant regulations like EBA/ECB. Being able to discuss these topics will demonstrate your knowledge and commitment to the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Prepare examples of how you've conducted gap analyses or improved processes in previous roles, as this is crucial for the position.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves explaining complex data insights to non-technical colleagues, practice articulating your thoughts clearly and concisely. Use simple language to convey your ideas effectively.
