At a Glance
- Tasks: Join a dynamic team ensuring accurate and timely risk analytics for investment decisions.
- Company: Leading Asset Management firm focused on data integrity and quality control.
- Benefits: Competitive salary, professional development, and opportunities for career growth.
- Other info: Collaborative environment with a focus on innovation and efficiency.
- Why this job: Make a real impact in portfolio risk management while working with cutting-edge data technologies.
- Qualifications: Strong analytical skills, experience with SQL and Python, and knowledge of financial data.
The predicted salary is between 60000 - 80000 € per year.
Our client is a leading Asset Management company and is currently looking for a data expert in the domain of portfolio risk analytics to join a risk platform operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data and focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings.
In this role, you will utilize domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer portfolio and risk manager questions, and develop automated systems for identifying data quality issues.
Experience Required:- You bring a unique blend of technical acumen, analytical depth, and domain expertise that enables us to make informed, data-driven investment decisions.
- Your work ensures the integrity, accuracy, and timeliness of risk analytics and data operations, directly supporting portfolio construction and risk management.
- Act as a steward of data assets critical to risk management and portfolio construction.
- Lead quality service efforts to address overnight data feed issues, enabling fast, seamless responses to upstream problems and insulating production and research teams.
- Update and verify multi-factor risk model inputs and outputs prior to client delivery.
- Ensure access to accurate, timely, and relevant portfolio risk analytics by collaborating with technology and business partners to resolve data quality issues at the source.
- Analyze systems and processes to identify efficiencies and improve reporting accuracy and timeliness.
- Apply experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg.
- Leverage strong analytical skills to comprehend large datasets and implement effective quality controls.
- Operate with a proactive, self-motivated approach, meeting objectives with minimal direction.
- Utilize vendor-provided risk data and tools including Bloomberg PORT, BarraOne, RiskManager, and/or Axioma.
- Demonstrate deep knowledge of financial data across security, company, portfolio, and index levels, including pricing for equities, bonds, and derivatives.
- Employ technical proficiency in SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks.
- Bring experience in global data operations or support teams within peer firms, with a proven track record of delivering value.
- Apply expertise in anomaly detection methods, data quality workflows, and statistical best practices.
- Communicate effectively across technical and investment teams.
- Navigate complex data environments and support the necessary technology and analytics infrastructure.
- Identify root causes of data quality issues and collaborate with teams and providers to resolve them.
- Create automated processes to detect errors and ensure high-quality data for investment decision-making.
- Document procedures and validate data to maintain transparency and reliability.
- Possess domain expertise in investment management across risk management, portfolio management, trading, and investment operations.
Risk Data Analyst (Data Operations) – Asset Management / Investment Management in London employer: psd group
As a leading Asset Management company, we pride ourselves on fostering a dynamic work environment that champions innovation and collaboration. Our commitment to employee growth is evident through continuous training opportunities and a culture that values data integrity and excellence in risk management. Located in a vibrant financial hub, we offer competitive benefits and a supportive atmosphere where your expertise in portfolio risk analytics will be recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Risk Data Analyst (Data Operations) – Asset Management / Investment Management in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management and risk analytics space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL, Python, or data quality frameworks. This will give potential employers a taste of what you can bring to the table beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of market risk models and data operations. Be ready to discuss how you've tackled data quality issues in the past and how you can apply that experience to their team.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Risk Data Analyst (Data Operations) – Asset Management / Investment Management in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Risk Data Analyst. Highlight your experience with data quality, risk analytics, and any relevant tools like SQL or Python. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about portfolio risk analytics and how your background makes you a perfect fit. Don’t forget to mention any specific experiences that relate to the job description.
Showcase Your Analytical Skills:In your application, be sure to highlight your analytical depth and technical acumen. Share examples of how you've tackled data quality issues or improved reporting accuracy in past roles. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at psd group
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of portfolio risk analytics and the specific data types mentioned in the job description. Be prepared to discuss how you’ve handled data quality issues in the past and how you can ensure accuracy and timeliness in your work.
✨Show Off Your Technical Skills
Since this role requires proficiency in SQL, Python, and data quality frameworks, be ready to demonstrate your technical skills. You might be asked to solve a problem or explain how you've used these tools in previous roles, so have some examples at the ready.
✨Communicate Clearly and Confidently
Effective communication is key, especially when collaborating with technical and investment teams. Practice explaining complex data concepts in simple terms, as you may need to clarify issues or solutions during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, particularly around root-cause analysis and data quality issues. Think of specific scenarios where you identified and resolved data discrepancies, and be ready to walk the interviewer through your thought process.
