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- Tasks: Lead a team ensuring accurate and timely risk analytics for portfolio management.
- Company: Top-tier Asset Management firm focused on data excellence.
- Benefits: Competitive salary, bonuses, and comprehensive benefits package.
- Why this job: Make a significant impact in risk management while mentoring future talent.
- Qualifications: Expertise in market risk models and strong analytical skills required.
- Other info: Dynamic role with opportunities for leadership and professional growth.
The predicted salary is between 100000 - 120000 £ 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) in Slough employer: psd group
Contact Detail:
psd group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Operations Manager (Director) in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the asset management and investment management sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! If you’ve got experience with SQL, Python, or any of those fancy data quality frameworks, make sure to highlight that in conversations. Bring examples of how you've tackled data quality issues or improved processes in past roles.
✨Tip Number 3
Prepare for interviews by brushing up on market risk models and data operations. Be ready to discuss your analytical capabilities and how you’ve mentored junior team members. We want to see your leadership skills shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Risk Data Operations Manager role!
We think you need these skills to ace Risk Data Operations Manager (Director) in Slough
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 at StudySmarter. Use specific examples that showcase your skills in SQL, Python, and data operations.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about risk data operations and how your background makes you the perfect fit for our team. Don’t forget to mention your leadership experience and how you’ve mentored others in the past.
Showcase Your Analytical Skills: We love data experts! In your application, make sure to highlight your analytical capabilities and any experience you have with large datasets. Share examples of how you've implemented data quality frameworks or resolved complex data issues.
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’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 implemented data quality controls in your previous roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical capabilities with large datasets. Think of examples where you've successfully identified and resolved data quality issues, and be ready to explain your approach to anomaly detection and statistical tools.
✨Highlight Your Leadership Experience
Since this role involves mentoring junior team members, come prepared with examples of how you've led teams or improved processes in the past. Share specific instances where your guidance made a difference in your team's performance.
✨Familiarise Yourself with Automation Tools
Given the emphasis on developing automated systems for data quality, make sure you can discuss your experience with SQL, Python, and any automation frameworks you've used. Be ready to talk about how these tools have helped you streamline data operations.