At a Glance
- Tasks: Join our investment risk team to analyse data and enhance risk systems.
- Company: Dynamic investment firm with a focus on innovation and client needs.
- Benefits: Comprehensive benefits package, including a generous salary contribution and professional development.
- Why this job: Make a real impact in risk management while working with cutting-edge technology.
- Qualifications: Experience in risk analysis and proficiency in coding languages like Python or SQL.
- Other info: Collaborative work environment with opportunities for travel and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Aberdeen comprises three businesses, Investments, Adviser, and Interactive Investor (ii), each of which focuses on meeting and adapting to our clients’ evolving needs. In European markets, our dedicated and highly experienced investment team manages our European products, including emerging market income and debt, smaller companies, European credit, ETFs, real estate and sustainable investing propositions. We have offices in Belgium, Denmark, France, Germany, Ireland, Italy, Luxembourg, the Netherlands, Spain, Sweden, Switzerland and the UK.
About the Role
The Risk Analyst will play a crucial role in the investment risk team, focusing on liaising between data and risk systems technology owners to facilitate accurate and efficient data feeds into Key Risk Indicators (KRI) and analysis. This position requires a deep understanding of risk management principles, data analysis, and technology systems.
- Data Liaison: Act as the primary point of contact between the investment risk team and technology owners to ensure seamless data integration and accuracy.
- Coding & Automation: Develop and maintain scripts or code (e.g., Python) to automate data validation, transformation, and reporting processes. Support enhancements to risk systems and tools through coding and technical input.
- KRI Management: Develop, monitor, and report on Key Risk Indicators to provide insights into potential risks and their impact on investment portfolios.
- Risk Analysis: Conduct detailed risk assessments, analyse data feeds, and provide comprehensive reports on findings.
- Technology Integration: Collaborate with technology teams to enhance risk systems and ensure efficient data flow.
- Stakeholder Communication: Communicate risk findings and recommendations to senior management and other stakeholders.
- Compliance: Ensure all risk management activities comply with regulatory requirements and internal policies.
- Continuous Improvement: Identify opportunities for process improvements and implement best practices in risk management.
About the Candidate
- Experience in risk analysis, preferably within the investment sector.
- Strong understanding of investment risk concepts and frameworks.
- Strong analytical skills.
- Proficiency in coding languages (Python, SQL or similar) and experience with data manipulation.
- Familiarity with data architecture, system interfaces, and processes.
- Excellent problem-solving skills and ability to work collaboratively across teams.
Additional Information
- Work Environment: This role requires a high level of collaboration with various departments, including IT, compliance, and investment teams.
- Travel: Occasional travel may be required for meetings and training sessions.
We are proud to be a Disability Confident Committed employer. If you have a disability and would like to apply to one of our UK roles under the Disability Confident Scheme, please notify us by completing the relevant section in our candidate questionnaire. One of our team will reach out to support you through your application process.
Our Benefits
We offer a comprehensive benefits package that includes a 7% contribution of your monthly salary.
Risk Analyst – Investment Risk Framework & Data Integration employer: abrdn
Contact Detail:
abrdn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Analyst – Investment Risk Framework & Data Integration
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment risk field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your coding skills and risk management principles. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you’ve successfully integrated data or automated processes. We love seeing how you’ve tackled real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who fit our culture.
We think you need these skills to ace Risk Analyst – Investment Risk Framework & Data Integration
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Risk Analyst. Highlight your experience in risk analysis and coding skills, especially in Python or SQL. We want to see how your background aligns with our investment risk framework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about risk management and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your analytical skills.
Showcase Your Technical Skills: Since this role involves coding and data integration, don’t forget to highlight your technical prowess. Mention specific tools or languages you've used, and if possible, include examples of how you've automated processes or improved data accuracy in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets into the right hands. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at abrdn
✨Know Your Risk Concepts
Make sure you brush up on your understanding of investment risk concepts and frameworks. Be ready to discuss how these principles apply to the role and give examples from your past experience that demonstrate your knowledge.
✨Show Off Your Coding Skills
Since coding is a big part of this role, be prepared to talk about your experience with Python or SQL. You might even want to bring along a sample script or two that showcases your ability to automate data processes or validate data.
✨Prepare for Data Integration Questions
Expect questions about how you would liaise between data and risk systems. Think about specific scenarios where you've successfully integrated data in the past and be ready to explain your approach and the outcomes.
✨Communicate Clearly
As you'll need to communicate findings to senior management, practice explaining complex risk analysis in simple terms. Use clear examples to illustrate your points, showing that you can convey important information effectively.