At a Glance
- 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.
- Other info: Collaborative environment with a focus on quality data solutions and career advancement.
- Why this job: Make a real impact in risk management while mentoring the next generation of data experts.
- Qualifications: 5+ years in data operations, strong analytical skills, and proficiency in SQL and Python.
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 employer: Fidelity Investments
Fidelity is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a leader in portfolio risk analytics, you will have the opportunity to mentor junior team members while working with cutting-edge data technologies in a supportive culture that prioritises professional growth and development. Located in a vibrant area, Fidelity provides employees with access to a wealth of resources and networking opportunities, making it an ideal place for those seeking meaningful and rewarding careers in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Director, Quantitative Data Operations
✨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 case studies showcasing your experience with market risk models and data quality controls. This will help you stand out during interviews and demonstrate your expertise.
✨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 can help you refine your answers and boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Director, Quantitative Data Operations
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 Fidelity.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past roles where you’ve successfully managed data quality or led a team. This will help us see how you can contribute to our Risk Platform Operations team.
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 this role. We love seeing genuine enthusiasm!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team.
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 mentioned in the job description, especially around portfolio risk analytics. Brush up on your knowledge of market risk models from vendors like Barra and Bloomberg, as well as your SQL and Python skills. Being able to discuss specific examples of how you've used these tools will really impress.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical capabilities by discussing past experiences where you've dealt with large datasets. Think about how you've implemented data quality controls or resolved data issues. Be ready to explain your thought process and the impact of your work on previous projects.
✨Emphasise Leadership and Mentorship
Since this role involves mentoring junior team members, be prepared to share examples of how you've led teams or supported colleagues in their development. Highlight any specific instances where your guidance made a difference, and show that you're passionate about fostering growth in others.
✨Communicate Clearly and Confidently
Strong communication skills are crucial for this position. Practice articulating complex ideas in a straightforward manner, especially when discussing technical topics. Be ready to engage with both technical and non-technical stakeholders, showcasing your ability to bridge the gap between different teams.