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- Tasks: Lead a team ensuring accurate and timely portfolio risk analytics for investment management.
- Company: Join Fidelity, a leader in asset management with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Why this job: Make a real impact in risk management while mentoring the next generation of data experts.
- Qualifications: 5+ years in data operations with strong analytical skills and experience in financial data.
- Other info: Dynamic team culture with opportunities for career growth and skill enhancement.
The predicted salary is between 72000 - 108000 £ per year.
The Position: Quantitative Research and Investments (QRI) is seeking a highly motivated 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.
The Value You Deliver:
- Contribute to the data model design and lead the management and stewardship of data assets used in risk management and portfolio construction
- Manage a quality services effort to respond to data quality issues in overnight feeds, enabling fast and seamless responses to upstream issues and insulating production and research from them, while building and tracking data quality KPIs
- Update and verify the multi factor risk model inputs and outputs before delivery to clients
- Enable Fidelity Asset Management’s access to accurate, timely and relevant portfolio risk analytics, working closely with key technology and business partners to correct data quality issues at source
- Analyze systems, processes and data provider relationships to find efficiencies and improve accuracy and timeliness of reporting
- Mentor junior analysts to help them grow their data domain, data operations and security modeling skill sets
The Skills You Bring:
- Extensive experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg
- Highly analytical with the ability to quickly comprehend large data sets, develop and implement the right quality controls for these datasets
- Highly proactive and self-motivated with the ability to meet objectives under minimal direction providing oversight and mentorship to junior team members
- Experience in security, company, portfolio, and index-level information used in financial industry, including pricing for various security types (equities, bonds, derivatives) and construction of holdings
- Experience in SQL, Python, Snowflake and / or Oracle and related tools and DQ frameworks
The Expertise You Have:
- Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field
- 5+ years’ experience in global data operations and/or support teams in peer firm(s) with a demonstrable track record delivering the value described for this role
- Experience with methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow
- Excellent written and verbal communication skills; experience working with technical, investment and senior leadership teams
- Experience as a leader in a team environment, mentoring junior associates, ideating process improvements and influencing partner teams
- Proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments
- Demonstrated ability to root-cause data quality issues in complex environments and work with other teams and data providers to correct issues at source
- Experience in creating automated processes to identify errors to ensure high quality of data to support the investment process
- Experience in documenting essential procedures and calculations, and validating data
- Investment Management business domain expertise across some combination of risk management, portfolio management, trading and investment operations
The Team: 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: Soteria Reinsurance Ltd.
Contact Detail:
Soteria Reinsurance Ltd. Recruiting Team
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 already working at Fidelity or similar firms. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss market risk models and data quality frameworks. Show us you know your stuff and can handle complex data environments!
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly. We love seeing proactive candidates who take the initiative to reach out.
✨Tip Number 4
Showcase your mentoring experience! Highlight how you've helped junior analysts grow their skills. We value leaders who can inspire and develop talent within the team.
We think you need these skills to ace Director, Quantitative Data Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Director, Quantitative Data Operations. Highlight your experience with market risk models and data quality management, as these are key for us at StudySmarter.
Showcase Your Skills: Don’t just list your skills; demonstrate how you've used them in past roles. We want to see your analytical prowess and how you’ve tackled data quality issues head-on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your expertise aligns with our mission at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Soteria Reinsurance Ltd.
✨Know Your Data Inside Out
Make sure you have a solid understanding of the data models and risk analytics relevant to the role. Brush up on your knowledge of market risk models from vendors like Barra or Bloomberg, as well as SQL and Python. Being able to discuss specific examples of how you've used these tools in past roles will really impress the interviewers.
✨Showcase Your Leadership Skills
As a Director, you'll be expected to mentor junior team members. Prepare to share examples of how you've successfully led teams in the past, particularly in resolving data quality issues or improving processes. Highlight your ability to influence and collaborate with other teams, as this is crucial for the role.
✨Prepare for Technical Questions
Expect some technical questions related to data quality workflows and anomaly detection methods. Brush up on best practices in these areas and be ready to discuss how you've implemented them in previous positions. This will demonstrate your expertise and readiness for the challenges of the role.
✨Communicate Clearly and Confidently
Strong communication skills are key for this position. Practice articulating complex data concepts in a clear and concise manner. Be prepared to explain how you've communicated with both technical and non-technical stakeholders in the past, as this will show your versatility and ability to bridge gaps between teams.
