At a Glance
- Tasks: Join a dynamic team to enhance fixed income analytics and develop innovative data solutions.
- Company: Leading asset management firm focused on quantitative research and data-driven insights.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Collaborative environment with hands-on project leadership and growth potential.
- Why this job: Make a real impact in finance by leveraging cutting-edge technology and analytics.
- Qualifications: Bachelor’s degree in finance, math, or related field; 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.
Certifications
Business Analytics and Insights
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 ample opportunities for professional growth in the fast-paced world of fixed income analytics. Our supportive work culture encourages continuous learning and development, while our commitment to cutting-edge technology ensures you are at the forefront of industry advancements. Located in a vibrant financial hub, we offer a stimulating environment where your contributions directly impact investment strategies and decision-making processes.
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 professionals in the fixed income and quantitative research space. Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create 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 do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with fixed income analytics and how you've tackled challenges in past roles. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and enthusiasm for the role.
We think you need these skills to ace Associate, Quant Data Operations
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your background in fixed income analytics and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative research and how your experience aligns with our needs. Be sure to mention any specific tools or methodologies you’ve used that relate to the role.
Showcase Your Technical Skills:Since this role requires advanced SQL and programming skills, don’t shy away from mentioning specific projects where you’ve used Python or R. We love seeing how you’ve applied your technical know-how to solve real-world problems!
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 the role. Plus, it shows you’re proactive, which we really appreciate!
How to prepare for a job interview at Fidelity Investments
✨Know Your Numbers
Make sure you brush up on your fixed-income quantitative research knowledge. Be ready to discuss model construction, factor definitions, and how to translate output statistics into actionable insights for portfolio management. This will show that you understand the core of what the role entails.
✨Showcase Your Technical Skills
Since advanced SQL skills and programming experience in Python or R are crucial, prepare to demonstrate your proficiency. Bring examples of past projects where you developed customized quantitative tools or handled large data sets. This will highlight your hands-on experience and technical capabilities.
✨Communicate Clearly
Strong written and verbal communication is key in this role. Practice explaining complex data analysis concepts in simple terms. You might be asked to communicate with investment professionals, so being able to articulate your thoughts clearly will set you apart.
✨Be Proactive and Collaborative
The team values a proactive and collaborative approach. Prepare examples of how you've successfully led small to medium-sized projects in fast-paced environments. Highlight your ability to liaise with different stakeholders and manage deliverables effectively, as this will resonate well with the interviewers.
