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For Companies At a Glance
- Tasks: Analyse credit risk data and develop innovative product solutions.
- Company: Join Citi, a leading global financial institution with a focus on innovation.
- Benefits: Enjoy hybrid working, competitive salary, and a supportive workplace culture.
- Why this job: Be part of a dynamic team driving change in credit risk management.
- Qualifications: Strong analytical skills, experience with data tools, and proficiency in SQL or Python preferred.
- Other info: Citi values diversity and encourages applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your knowledge in Counterparty Credit Risk and your skills in data analysis & problem-solving to Citi’s Product Development team, focused on Institutional Credit Management (ICM).
Team/Role Overview
Institutional Credit Management provides integrated end-to-end credit underwriting and credit risk management for Citi’s wholesale businesses. This data-analytics focused product development role will execute credit risk target state processes, data & technology capabilities. Based in London, col-located with Citi’s Senior Risk Officers, this role will position the right candidate for significant future growth potential in Data, Product Development and Credit Risk.
What you’ll do
- Collect, clean, and analyse data related to credit risk - utilizing a data driven approach to determine the optimal solutions to meet strategic requirements.
- Identify data patterns & trends, and provide insights to business stakeholders.
- Define Business Requirements to drive development or new products and/or features and functionality of products.
- Create a product vision aligned to business priorities and corresponding road-map to delivery.
- Develop plans, prioritizes, coordinates design and delivery of products or features.
- Interact with business managers, technology, and sales to understand their long term vision, discuss industry trends, and incorporate them into the product & solutions strategy.
What we’ll need from you
- Highly analytical & creative mindset.
- Strong communication, planning and organisational skills.
- Experience with data visualization tools (for example, Tableau).
- Proficiency in Excel.
- An ability to manipulate data using SQL and/or Python is preferrable.
- Experience with low-code Extract Transform and Load (ETL) applications is preferrable.
What we can offer you
This role offers the opportunity to build an in-depth knowledge of management of credit risk within a global bank. Every day there will be new business challenges that will help you develop new skills that can drive your career both today and into the future. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits that support you (and your family) to be well, live well and save well.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
Wholesale Credit Risk Data Analyst employer: Citigroup Inc.
Contact Detail:
Citigroup Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wholesale Credit Risk Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in Counterparty Credit Risk and data analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your knowledge and enthusiasm for the field.
✨Tip Number 2
Network with professionals already working in credit risk or data analysis roles. Attend industry events or join relevant online forums to connect with potential colleagues at Citi. This can provide you with insider insights and may even lead to referrals.
✨Tip Number 3
Brush up on your SQL and Python skills, as these are preferred qualifications for the role. Consider taking online courses or working on personal projects that involve data manipulation to demonstrate your proficiency in these areas.
✨Tip Number 4
Prepare to discuss how you would approach collecting and analysing credit risk data. Think of specific examples from your past experiences where you've successfully identified data patterns or provided insights that influenced business decisions.
We think you need these skills to ace Wholesale Credit Risk Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, credit risk, and any relevant tools like SQL or Python. Use specific examples that demonstrate your analytical skills and problem-solving abilities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with Citi's needs. Mention your understanding of counterparty credit risk and how you can contribute to the Product Development team.
Showcase Relevant Skills: Emphasise your proficiency in data visualisation tools such as Tableau and your ability to manipulate data. Highlight any experience with ETL applications, as this is preferred for the role.
Prepare for Potential Questions: Think about how you would approach data analysis in a credit risk context. Be ready to discuss your previous projects and how you identified data patterns and trends to provide insights to stakeholders.
How to prepare for a job interview at Citigroup Inc.
✨Showcase Your Analytical Skills
As a Wholesale Credit Risk Data Analyst, your analytical mindset is crucial. Be prepared to discuss specific examples of how you've collected, cleaned, and analysed data in previous roles. Highlight any insights you provided that influenced business decisions.
✨Demonstrate Your Technical Proficiency
Familiarity with data visualisation tools like Tableau and proficiency in Excel are essential. Make sure to mention any experience you have with SQL or Python, as well as low-code ETL applications. Prepare to discuss how you've used these tools to solve problems or improve processes.
✨Understand the Business Context
Citi's focus on Institutional Credit Management means understanding the broader financial landscape is key. Research current trends in credit risk management and be ready to discuss how they might impact the role. This shows your commitment and ability to align with business priorities.
✨Prepare for Collaborative Discussions
This role involves interacting with various stakeholders, including business managers and technology teams. Practice articulating your thoughts clearly and concisely, and be ready to discuss how you would approach collaboration and communication in a team setting.
