At a Glance
- Tasks: Join a dynamic team to enhance analytics and risk platforms in fixed income.
- Company: Leading asset management firm focused on innovative quantitative research.
- Benefits: Competitive salary, professional development, and collaborative work environment.
- Other info: Fast-paced environment with opportunities for hands-on project leadership and career growth.
- Why this job: Make a real impact by developing cutting-edge analytic tools for investment strategies.
- Qualifications: Bachelor’s degree in finance, math, or computer science; 2+ years in investment data analytics.
The predicted salary is between 50000 - 70000 £ per year.
Fixed Income Quantitative Research Services provides analytic solutions and data management services to teams in quantitative research, portfolio management, and senior leadership roles across Asset Management. This specialized team leads development efforts to expand and enhance the technical infrastructure and reporting capabilities associated with single‑security fixed income analytics, multi‑factor model risk forecasting, big data analytics, and performance attribution.
Together with partners in the technology and research divisions, members of this organization work as an integral part of small project teams to deliver innovative data visualization and analytic tools that illustrate current and time‑series investment themes, portfolio exposures, and factors driving fund performance. In addition to project work, associates are responsible for the oversight, maintenance, quality assurance, and operational support of analytic and reporting environments to ensure timely and accurate investment intelligence is delivered for direct use within the portfolio management process.
The Experience And Skills You Bring
- A Bachelor’s degree in finance, math, accounting, engineering, or computer science. Master’s Degree and/or CFA Charter are strongly desired.
- 2+ years of experience in an investment data analytics capacity with a focus on fixed income.
- Deep understanding of fixed‑income quantitative research, including model construction, factor definitions, factor calculations, security analytics, and translating output statistics into meaningful information for portfolio management.
- Business, system, and data analysis; process design and acceptance testing for projects requiring new research content, investment analytics, and additional reporting capabilities.
- Oversight of daily/weekly/monthly production reporting cycles; ensuring all input data is available, processes run successfully, statistical outputs are accurate, and reports are generated properly.
- Response to ad‑hoc data analysis requests in support of projects performed by Quantitative Research Analysts and frequent high‑priority inquiries from senior investment professionals.
- Contribution to the development and incorporation of non‑traditional and/or unstructured data and data‑science applications to enhance the research and investment process.
- Advanced SQL skills and ability to traverse diverse database schemas across content sets.
- Programming experience in Python or R to develop customized quantitative tools.
- Highly analytical, able to quickly comprehend large data sets to develop new processes, perform calculations, identify anomalies, and produce new reporting capabilities.
- Familiarity with quantitative analytics, including fund and index performance measurement, predictive risk modeling, alpha research, stock‑selection models, and performance attribution.
- Hands‑on project leadership; ability to complete projects as part of small teams in a fast‑paced environment, and to liaise with investment professionals to gather requirements and manage deliverables of technical development teams.
- Working knowledge of fixed‑income securities, corporate actions, financial statement analysis, street estimates, pricing, and performance data.
- Highly proactive, collaborative, and self‑motivated with the ability to meet objectives under minimal supervision.
- Strong written and verbal communication; ability to communicate effectively with key stakeholders on deliverables.
- Demonstrated history as a top performer in a data‑analysis role requiring technical skills.
- Successfully led small to medium‑sized projects in a fast‑paced environment.
The Team
As part of the Fixed Income Quant Services team, you will work to improve the analytics and risk platform and quantitative processes by collaborating across teams and driving engagement. You will leverage your technology and domain expertise to understand business requirements, partner with quant analysts in testing model prototypes, and work with technology partners to implement models. You will also use your analytical skills to actively monitor the quality of security‑ and fund‑level analytics and reports.
Associate, Quant Data Operations employer: Fidelity Investments
As an Associate in Quant Data Operations, you will join a dynamic team that thrives on innovation and collaboration, providing you with the opportunity to work closely with experts in quantitative research and technology. Our supportive work culture fosters professional growth through hands-on project leadership and continuous learning, while our commitment to delivering cutting-edge analytic solutions ensures that your contributions have a meaningful impact on investment strategies. Located in a vibrant financial hub, we offer competitive benefits and a stimulating environment that encourages creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Associate, Quant Data Operations
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in fixed income or quantitative research. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those involving SQL, Python, or R. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview by being ready to discuss your past experiences in detail. Be prepared to explain how you've tackled challenges in data analysis and how you’ve contributed to team projects. We want to see your problem-solving skills in action!
✨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, Quant Data Operations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate, Quant Data Operations role. Highlight your experience in investment data analytics and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills:Don’t forget to showcase your advanced SQL skills and programming experience in Python or R. We love seeing candidates who can develop customised quantitative tools, so make that shine in your application!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work in fixed income quantitative research and how you’ve contributed to project success. We want to hear your story!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at Fidelity Investments
✨Know Your Numbers
Make sure you brush up on your fixed-income analytics knowledge. Be prepared to discuss model construction, factor definitions, and how you’ve translated statistical outputs into actionable insights for portfolio management. This shows you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Technical Skills
Since advanced SQL skills and programming in Python or R are crucial for this role, be ready to talk about specific projects where you used these tools. Bring examples of how you developed customized quantitative tools or improved reporting capabilities using your technical expertise.
✨Demonstrate Your Project Leadership
Highlight your experience leading small to medium-sized projects. Discuss how you managed deliverables and liaised with investment professionals. This will show that you can thrive in a fast-paced environment and effectively collaborate with various teams.
✨Communicate Clearly
Strong communication skills are key in this role. Practice explaining complex data analysis concepts in simple terms. Be prepared to discuss how you’ve communicated findings to stakeholders and how you ensure everyone is on the same page regarding project objectives.
