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For Companies At a Glance
- Tasks: Join a team ensuring accurate and timely portfolio risk analytics for investment decisions.
- Company: Fidelity Asset Management, a leader in innovative financial solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on investment strategies using cutting-edge data analytics.
- Qualifications: Bachelor's degree in a quantitative field and 3+ years in data operations.
- Other info: Dynamic team environment with a focus on quality and efficiency.
The predicted salary is between 36000 - 60000 £ per year.
The Role
Quantitative Research and Investments (QRI) is seeking a highly motivated data expert in the domain of portfolio risk analytics to join 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 utilize domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer portfolio and risk manager questions, and develop automated systems for identifying data quality issues.
The Skills and Expertise You Bring:
- Act as a steward of data assets critical to risk management and portfolio construction.
- Lead quality service efforts to address overnight data feed issues, enabling fast, seamless responses to upstream problems and insulating production and research teams.
- Update and verify multi-factor risk model inputs and outputs prior to client delivery.
- Ensure access to accurate, timely, and relevant portfolio risk analytics by collaborating with technology and business partners to resolve data quality issues at the source.
- Analyze systems and processes to identify efficiencies and improve reporting accuracy and timeliness.
- Apply experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg.
- Leverage strong analytical skills to comprehend large datasets and implement effective quality controls.
- Operate with a proactive, self-motivated approach, meeting objectives with minimal direction.
- Utilize vendor-provided risk data and tools including Bloomberg PORT, BarraOne, RiskManager, and/or Axioma.
- Demonstrate deep knowledge of financial data across security, company, portfolio, and index levels, including pricing for equities, bonds, and derivatives.
- Employ technical proficiency in SQL, Python, Snowflake, and/or Oracle, along with data quality frameworks.
- Hold a Bachelor's degree (or higher) in mathematics, statistics, engineering, computer science, finance, or a related quantitative field.
- Bring 3+ years of experience in global data operations or support teams within peer firms, with a proven track record of delivering value.
- Apply expertise in anomaly detection methods, data quality workflows, and statistical best practices.
- Communicate effectively across technical and investment teams.
- Navigate complex data environments and support the necessary technology and analytics infrastructure.
- Identify root causes of data quality issues and collaborate with teams and providers to resolve them.
- Create automated processes to detect errors and ensure high-quality data for investment decision-making.
- Document procedures and validate data to maintain transparency and reliability.
- Possess domain expertise in investment management across risk management, portfolio management, trading, and investment operations.
The Team:
The Risk Platform Operations 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.
Certifications:
Category: Data Analytics and Insights
Associate, Quantitative Data Operations in Stoke-on-Trent employer: Fidelity
Contact Detail:
Fidelity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Quantitative Data Operations in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in risk analytics or data operations. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with data quality frameworks and market risk models. This will help you stand out during interviews and showcase your technical acumen.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data operations and risk management. Mock interviews with friends or mentors can help you articulate your thoughts clearly.
✨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 Associate, Quantitative Data Operations in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the skills and expertise mentioned in the job description. Highlight your experience with data operations, risk analytics, and any relevant technical skills like SQL or Python. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about portfolio risk analytics and how your background makes you a perfect fit for the role. Don’t forget to mention specific experiences that align with what we’re looking for.
Showcase Your Analytical Skills: Since this role is all about data, make sure to highlight your analytical prowess. Share examples of how you've tackled data quality issues or improved reporting accuracy in previous roles. We love seeing how you think and solve problems!
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 out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Fidelity
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of portfolio risk analytics and the specific data types mentioned in the job description. Familiarise yourself with terms like security factor exposures, covariance matrices, and multi-factor risk models. This will show that you’re not just a data expert but also someone who understands the nuances of the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and any other relevant tools like Bloomberg PORT or Axioma. Bring examples of how you've used these skills to solve data quality issues or improve reporting accuracy. This will demonstrate your technical acumen and analytical depth, which are crucial for the position.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to root-cause data issues and collaborate with teams to resolve them. Think of specific instances where you identified a problem, the steps you took to address it, and the outcome. This will highlight your proactive approach and ability to work under minimal direction.
✨Communicate Clearly and Confidently
Since the role involves liaising with both technical and investment teams, practice explaining complex data concepts in simple terms. Be ready to discuss how you’ve effectively communicated across different teams in the past. Clear communication is key to ensuring everyone is on the same page when it comes to data integrity and risk management.