At a Glance
- Tasks: Lead a team ensuring accurate and timely delivery of portfolio risk analytics.
- Company: Top-tier Asset Management firm focused on innovation and quality.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Join a collaborative team with excellent career growth potential.
- Why this job: Make a real impact in investment management while developing your leadership skills.
- Qualifications: Experience with market risk models and strong analytical skills required.
The predicted salary is between 80000 - 100000 £ 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 lead 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.
The successful candidate will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. You will also mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues.
Experience Required:
- Proven experience with market risk models from leading vendors such as Barra (BarrOne), Axioma, Northfield, and Bloomberg (Bloomberg PORT).
- Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls.
- Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members.
- Deep understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives.
- Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands‑on experience in data quality frameworks and automation tools.
- Experience in global data operations or support roles within the financial industry, with a track record of delivering high‑quality data solutions.
- Expertise in anomaly detection methods, statistical tools, and best practices for managing data quality workflows.
- Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements.
- Experience working in complex data environments, with the technical and analytical infrastructure required to support them.
- Ability to identify and resolve root‑cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source.
- Skilled in developing automated processes to detect and resolve data errors, ensuring high‑quality data for investment decision‑making.
- Experience in documenting key procedures and calculations and validating data for accuracy and completeness.
- Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations.
Investment Risk Analytics - Data Operations Lead (Director) in London employer: psd group
As a leading Asset Management company, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our commitment to excellence is reflected in our comprehensive benefits package, mentorship opportunities, and a collaborative environment where innovation thrives. Located in a vibrant financial hub, we offer our team members the chance to engage with cutting-edge data operations while making a meaningful impact in the investment management sector.
StudySmarter Expert Advice🤫
We think this is how you could land Investment Risk Analytics - Data Operations Lead (Director) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment management space and let them know you're on the lookout for opportunities. Attend industry events or webinars to meet potential employers and make a lasting impression.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with market risk models and data quality controls. This will give you an edge during interviews and demonstrate your expertise in a tangible way.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your responses, especially around your analytical capabilities and leadership experiences. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don't forget to apply through our website! We have a range of exciting roles in investment risk analytics, and applying directly can sometimes give you a leg up. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Investment Risk Analytics - Data Operations Lead (Director) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with market risk models and data quality controls, as these are key for the role. We want to see how your skills align with what we're looking for!
Showcase Your Data Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used SQL, Python, or other tools to solve data issues or improve processes. This will help us see your hands-on experience in action.
Be Proactive in Your Cover Letter:Use your cover letter to show your proactive approach. Talk about how you've mentored others or led teams in the past. We love candidates who can take initiative and drive improvements, so let that shine through!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at psd group
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of portfolio risk analytics and the data involved. Brush up on your knowledge of market risk models from vendors like Barra, Axioma, and Bloomberg. Being able to discuss how these models work and their applications will show that you’re not just familiar with the tools, but you understand their impact on investment decisions.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical capabilities by discussing past experiences where you’ve worked with large datasets. Be ready to explain how you implemented data quality controls and resolved issues. Use specific examples to illustrate your problem-solving skills and how you’ve improved data workflows in previous roles.
✨Highlight Your Leadership Experience
Since this role involves mentoring junior team members, be prepared to talk about your leadership style and experiences. Share examples of how you’ve guided others in complex data environments and driven process improvements. This will help the interviewers see you as a potential leader within their team.
✨Prepare for Technical Questions
Expect technical questions related to SQL, Python, and data quality frameworks. Brush up on your coding skills and be ready to discuss how you’ve used these tools in real-world scenarios. If possible, prepare to solve a problem or case study during the interview to showcase your technical prowess.
