At a Glance
- 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, strong analytical skills, and experience with market risk models.
- Other info: Dynamic team environment 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how your skills align with their needs. This will help you stand out and show that you're genuinely interested in the role.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms to get comfortable with common questions. The more you practice, the more confident you'll feel when it’s time to shine.
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the position and appreciation for their time.
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 is tailored to the Director, Quantitative Data Operations role. Highlight your experience with market risk models and data operations, and don’t forget to showcase your leadership skills and mentoring experience!
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 background aligns with our needs at StudySmarter. Be specific about your achievements and how they relate to the role.
Showcase Your Technical Skills: We love seeing technical expertise! Make sure to mention your experience with SQL, Python, and any other relevant tools. If you've worked with data quality frameworks, definitely highlight that too!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
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, and be ready to discuss how you've used these in past roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing specific examples where you've tackled complex data sets. Be ready to explain how you developed quality controls and resolved data quality issues, as this will show your proactive approach.
✨Mentorship Matters
Since mentoring junior analysts is part of the job, think about your past experiences in guiding others. Have a couple of stories ready that highlight your leadership style and how you've helped team members grow their skills.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to interact with both technical teams and senior leadership. Being able to convey complex ideas clearly will set you apart.