At a Glance
- Tasks: Join a dynamic team to enhance analytics and develop innovative data solutions in fixed income.
- Company: Leading asset management firm focused on quantitative research and data analytics.
- Benefits: Competitive salary, professional development, and opportunities for career advancement.
- Other info: Fast-paced environment with hands-on project leadership opportunities.
- Why this job: Make a real impact by improving investment intelligence and collaborating with top professionals.
- Qualifications: Bachelor’s degree in finance, math, or computer science; experience in investment data analytics required.
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.
Associate, Quant Data Operations employer: Fidelity Investments Inc.
As an Associate in Quant Data Operations, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. Our commitment to employee development is reflected in our comprehensive training programmes and opportunities for advancement within the asset management sector. Located in a vibrant financial hub, we offer competitive benefits and a supportive 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 finance and data analytics space, especially those who work with fixed income. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, or R. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of fixed income analytics and quantitative research. Be ready to discuss your experience with model construction and data analysis, as well as how you've tackled challenges in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 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 demonstrate your analytical skills.
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 background aligns with the responsibilities outlined in the job description. Don’t forget to mention your programming skills in Python or R!
Showcase Your Analytical Skills:In your application, be sure to highlight specific examples where you've successfully handled large data sets or developed new reporting capabilities. This will show us that you have the hands-on experience we’re looking for in this fast-paced environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and genuinely interested in joining our team!
How to prepare for a job interview at Fidelity Investments Inc.
✨Know Your Numbers
Brush up on your knowledge of fixed income analytics and quantitative research. Be prepared to discuss specific models you've worked with, how you approached data analysis, and any tools you've used like SQL, Python, or R. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Projects
Have a couple of projects ready to discuss that highlight your experience in data analytics. Focus on your role, the challenges you faced, and how you overcame them. This is your chance to demonstrate your hands-on project leadership skills and how you thrive in fast-paced environments.
✨Communicate Clearly
Since you'll be liaising with investment professionals, practice explaining complex data concepts in simple terms. Prepare to articulate how you've communicated findings in the past and how you ensure stakeholders understand the deliverables. Strong communication skills are key!
✨Be Proactive and Collaborative
Emphasise your proactive approach and ability to work collaboratively within small teams. Think of examples where you took the initiative or contributed to team success. This will resonate well with the interviewers looking for someone who can drive engagement and improve processes.
