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- Tasks: Lead a team ensuring accurate and timely portfolio risk analytics for investment management.
- Company: Join Fidelity, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact in financial data operations and mentor the next generation of data experts.
- Qualifications: 5+ years in data operations, strong analytical skills, and proficiency in SQL and Python.
- Other info: Dynamic team environment with a focus on collaboration and continuous improvement.
The predicted salary is between 72000 - 108000 £ per year.
Quantitative Research and Investments (QRI) is seeking 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 across Fidelity are delivered consistently, accurately and on a timely basis.
The Risk Platform Operations team are the stewards of risk analytics data for Fidelity Asset Management. They 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 provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them.
This leader will 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.
Expertise And Skills You Bring
- Proven experience with market risk models from leading vendors such as Barra, Axioma, Northfield, and Bloomberg.
- 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.
- Bachelor’s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, computer science, or finance.
- 5+ years of 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.
- Excellent communication skills, with experience collaborating across technical, investment, and senior leadership teams.
- 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.
The Risk Platform team is an integral part of the Quantitative Research and Investing (QRI) division in Asset Management. QRI is responsible for the management and development of quantitative investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.
Director, Quantitative Data Operations in London employer: Fidelity Investments
Contact Detail:
Fidelity Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Quantitative Data Operations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in risk analytics or data operations. A casual chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with market risk models and data quality controls. This will give you an edge during interviews and show that you're ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your analytical capabilities and how you've tackled data quality issues in the past. Mock interviews with friends or mentors can help you refine your pitch.
✨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!
We think you need these skills to ace Director, Quantitative Data Operations in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Director, Quantitative Data Operations. Highlight your experience with market risk models and data quality controls, as these are key for us at StudySmarter.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past roles where you’ve successfully managed large datasets or improved data quality processes. We love seeing real-world applications!
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 expertise aligns with our mission at StudySmarter. Keep it engaging and personal.
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 Fidelity Investments
✨Know Your Data Inside Out
Make sure you have a solid grasp of the key data concepts relevant to 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 by discussing specific examples where you've worked with large datasets. Be ready to explain how you identified and resolved data quality issues, as well as any automation tools you've used to streamline processes.
✨Emphasise Leadership and Mentorship
Since this role involves mentoring junior team members, think of instances where you've led a team or provided guidance. Share how you helped others develop their skills and how you drove process improvements in your previous positions.
✨Communicate Effectively
Strong communication skills are crucial for this role. Practice articulating complex data concepts in a clear and concise manner. Be prepared to discuss how you've collaborated with technical teams and senior leadership to ensure data accuracy and completeness.
