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- Tasks: Support market and counterparty risk applications while resolving system issues.
- Company: Join a leading player in the Investment Banking industry in London.
- Benefits: Enjoy a hybrid work model with 50% onsite flexibility.
- Why this job: Be part of a dynamic team driving process improvements in a fast-paced environment.
- Qualifications: Strong data analysis experience in financial services and proficiency in SQL and Python required.
- Other info: Collaborate with IT and business teams, utilising tools like Jira and PowerBI.
The predicted salary is between 48000 - 72000 £ per year.
Our client, a leading player in the Investment Banking industry, is seeking an experienced Risk Analyst to join their Risk Systems Operations team. This role focuses on supporting market and counterparty risk applications and ensuring smooth production services.
Key Details:
- Location: London (50% onsite)
- Work Pattern: Hybrid – 2 to 3 days per week in the office
- Industry: Investment Banking
- Contract Type: Contract
Key Responsibilities:
- Provide second and third-line support for risk applications
- Perform data and functional analysis to resolve system issues
- Deliver risk analysis and support stress testing
- Collaborate with stakeholders across IT and business teams
- Drive process improvements and contribute to agile delivery
Requirements:
- Strong experience in Data Analysis within financial services
- Expertise in market or counterparty risk
- Technical skills with SQL and Python
- Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy.
- Proficiency with tools like Jira, Confluence, Excel, and SharePoint
- Familiarity with Agile, DevOps, and Site Reliability Engineering
- Excellent communication and stakeholder management skills
Risk Analyst - Market/Counterparty Risk employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Analyst - Market/Counterparty Risk
✨Tip Number 1
Familiarise yourself with the latest trends in market and counterparty risk. Understanding current challenges and innovations in the investment banking sector will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial services industry, especially those working in risk analysis. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your technical skills, particularly SQL and Python. Consider working on small projects or contributing to open-source initiatives to demonstrate your proficiency and problem-solving abilities in real-world scenarios.
✨Tip Number 4
Prepare to discuss your experience with data visualisation tools like PowerBI. Be ready to showcase how you've used these tools to drive insights and support decision-making in previous roles.
We think you need these skills to ace Risk Analyst - Market/Counterparty Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly within financial services. Emphasise your expertise in market or counterparty risk and any relevant technical skills such as SQL and Python.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Risk Analyst position and how your background aligns with the key responsibilities outlined in the job description. Mention your experience with risk applications and your ability to collaborate with stakeholders.
Showcase Technical Skills: Be specific about your technical skills in your application. Highlight your proficiency with tools like PowerBI, Jira, and Confluence, and mention any experience you have with Agile methodologies and DevOps practices.
Prepare for Potential Questions: Think about potential interview questions related to risk analysis and data management. Be ready to discuss your problem-solving approach and how you've contributed to process improvements in previous roles.
How to prepare for a job interview at Lorien
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis in financial services. Highlight specific projects where you've successfully used SQL and Python to solve problems or improve processes.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as PowerBI, Jira, and Confluence. Be ready to explain how you've used these tools in past roles to support risk applications or enhance data visualisation.
✨Emphasise Collaboration and Communication
Since the role involves working with various stakeholders, prepare examples that showcase your communication skills and ability to collaborate effectively across teams. Think of situations where you successfully managed stakeholder expectations.
✨Understand Agile and DevOps Principles
Brush up on Agile methodologies and DevOps practices, as they are crucial for this role. Be ready to discuss how you've applied these principles in your previous work, particularly in relation to process improvements and agile delivery.
