At a Glance
- Tasks: Lead a team ensuring accurate and timely portfolio risk analytics for investment decisions.
- Company: Top-tier Asset Management firm focused on data excellence.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Join a collaborative team with opportunities for professional growth and innovation.
- Why this job: Make a significant impact in risk management while developing your leadership skills.
- Qualifications: Proven 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.
Risk Data Operations Manager (Director) employer: Psd Group - London
As a leading Asset Management company, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our Risk Data Operations Manager role offers the opportunity to lead a talented team while working in a collaborative environment that values innovation and excellence in data quality. With access to cutting-edge tools and resources, employees are empowered to make impactful contributions to portfolio risk analytics, ensuring a rewarding and meaningful career path in the heart of the financial industry.
StudySmarter Expert Advice🤫
We think this is how you could land Risk Data Operations Manager (Director)
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analytics sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with market risk models and data quality frameworks. Use real-world examples to demonstrate your analytical capabilities and how you've tackled data quality issues in the past. This will make you stand out when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss SQL, Python, and any other tools mentioned in the job description. Practise explaining complex data concepts in simple terms, as you might need to mentor junior team members or explain things to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you on the path to success!
We think you need these skills to ace Risk Data Operations Manager (Director)
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 us. Use specific examples that showcase your analytical skills and leadership experience.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about portfolio risk analytics and how your background makes you the perfect fit for our Risk Platform Operations team. Don’t forget to mention your experience with SQL, Python, and any relevant tools.
Showcase Your Data Expertise:We want to see your data chops! Include details about your experience with large datasets, anomaly detection methods, and any automated systems you've developed. This will help us understand how you can contribute to maintaining high-quality data.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Psd Group - London
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of portfolio risk analytics. Brush up on market risk models from vendors like Barra and Bloomberg, and be ready to discuss how you've used these tools in past roles. This will show your potential employer that you have the expertise they’re looking for.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical capabilities by discussing examples where you've successfully managed large datasets. Be ready to explain how you implemented data quality controls and resolved issues, as this is crucial for the role. Use specific metrics or outcomes to highlight your impact.
✨Highlight Your Mentorship Experience
Since the role involves mentoring junior team members, think of instances where you’ve guided others. Share stories that illustrate your leadership style and how you’ve helped colleagues develop their skills. This will show that you can foster a collaborative team environment.
✨Be Ready for Technical Questions
Expect technical questions related to SQL, Python, and data quality frameworks. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common data-related scenarios can help you feel more confident during the interview.
