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 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 their 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 capable of illustrating current and time series investment themes, portfolio exposures, and factors driving fund performance. In addition to their project work, associates are also 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 plus years of experience in an investment data analytics capacity with a focus on Fixed Income.
- Develop deep understanding across all aspects of Fixed Income quant research including model construction, factor definitions, factor calculations, security analytics and translating output statistics into meaningful information used within the portfolio management function.
- Perform business, systems, and data analysis, process design, and acceptance testing across projects that require new research content, investment analytics, and/or produce additional reporting capabilities for investment professionals.
- Oversee daily/weekly/monthly production reporting cycles across the analytic environments. Ensure all required input data is available, processes run successfully, statistical output is accurate, and reports are generated properly.
- Respond to ad-hoc data analysis requests in support of projects performed by Quantitative Research Analysts in addition to frequent high priority inquiries from other senior investment professionals.
- Contribute to the continued development and incorporation of non-traditional and/or unstructured data as well as data science applications to enhance the research and investment process.
- Advanced level SQL and ability to traverse a wide array of database schemas across diverse content sets.
- Experience programming in Python or R with the ability to develop customized quantitative tools.
- Highly analytical with the ability to quickly comprehend large data sets in order to develop new processes, perform calculations, identify anomalies, and/or 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 skills with the drive to complete projects as a part of small teams within an extremely fast paced environment.
- Capability 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; able to communicate effectively with key stakeholders on deliverables.
- Demonstrated history as a top performer working in a data analysis role where technical skills were required. 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 on improving the analytics and risk platform as well as quant processes by collaborating across teams and driving the engagement. You will leverage your strong technology and domain skills to understand business requirements, partner with quant analysts in testing model prototypes and work with technology partners in driving the implementation of said models. You will also use your analytical skills to actively monitor the quality of the security and fund level analytics and reports.
Certifications: Category: Business Analytics and Insights
Associate, Quant Data Operations in London employer: Fidelity
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 asset management. Our supportive work culture encourages continuous learning and development, while our commitment to cutting-edge technology ensures you are at the forefront of data analytics in fixed income. Located in a vibrant financial hub, we offer a unique 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in fixed income or quantitative research. A casual chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects or analyses, especially those involving SQL, Python, or R. When you get the chance to chat with potential employers, having tangible examples will make you stand out.
✨Tip Number 3
Be proactive! If you see a company you're keen on, don’t wait for them to post a job. Reach out directly through our website and express your interest. Sometimes, creating your own opportunity is the best way to land that dream role.
✨Tip Number 4
Stay updated! Follow trends in fixed income analytics and data science. Being able to discuss current topics during interviews shows you're not just qualified but also genuinely interested in the field.
We think you need these skills to ace Associate, Quant Data Operations in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Associate in Quant Data Operations. Highlight your experience in investment data analytics, especially in Fixed Income, and showcase any relevant projects you've worked on that align with the job description.
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 skills in SQL, Python, or R can contribute to our team. Be sure to mention any hands-on project leadership experience you've had.
Showcase Your Analytical Skills:In your application, don’t forget to highlight your analytical prowess. Provide examples of how you've tackled large data sets, developed new processes, or performed calculations that led to meaningful insights in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Fidelity
✨Know Your Numbers
Make sure you brush up on your quantitative skills, especially in SQL and programming languages like Python or R. Be ready to discuss how you've used these tools in past roles, particularly in fixed income analytics. Having specific examples of projects where you applied these skills will really impress the interviewers.
✨Understand the Fixed Income Landscape
Familiarise yourself with fixed income securities and the various factors that influence them. Be prepared to talk about model construction, factor definitions, and performance attribution. Showing that you have a deep understanding of these concepts will demonstrate your readiness for the role.
✨Showcase Your Analytical Mindset
During the interview, highlight your ability to analyse large data sets and identify anomalies. Share examples of how you've developed new processes or reporting capabilities in previous positions. This will showcase your analytical prowess and problem-solving skills, which are crucial for this role.
✨Communicate Effectively
Strong communication skills are key in this position. Practice articulating complex ideas clearly and concisely. Be ready to explain how you've liaised with investment professionals in the past to gather requirements and manage deliverables. This will show that you can bridge the gap between technical and non-technical teams.
