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 opportunities to work on exciting projects and grow your skills.
- 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; 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: CFA Institute
As an Associate in Quant Data Operations, you will join a dynamic team that thrives on innovation and collaboration within the fast-paced environment of Fixed Income Quantitative Research Services. Our company is committed to fostering a culture of continuous learning and professional growth, offering extensive opportunities for skill development and career advancement while providing competitive benefits and a supportive work atmosphere. Located in a vibrant financial hub, we empower our employees to make meaningful contributions to investment intelligence, ensuring that your work has a direct impact on portfolio management and decision-making.
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. Use platforms like LinkedIn to connect, ask questions, and learn about potential job openings. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can talk confidently about SQL, Python, and data analytics. Practice common interview questions related to fixed income and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t forget to tailor your approach! When applying through our website, make sure your application reflects your understanding of the role. Highlight your experience in investment data analytics and how it aligns with the responsibilities of the Associate position.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the team!
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 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 abilities. Provide examples of how you've tackled large data sets, performed calculations, or developed new reporting capabilities. This will show us that you can handle the fast-paced environment we thrive in.
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 from us!
How to prepare for a job interview at CFA Institute
✨Know Your Fixed Income Fundamentals
Make sure you brush up on your knowledge of fixed income securities and analytics. Understand model construction, factor definitions, and how to translate statistical outputs into actionable insights. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Show Off Your Technical Skills
Be prepared to discuss your experience with SQL, Python, or R. Bring examples of projects where you've developed quantitative tools or performed complex data analysis. If you can demonstrate your ability to handle large datasets and create meaningful reports, you'll definitely stand out.
✨Communicate Like a Pro
Since this role involves liaising with investment professionals, practice articulating complex ideas clearly and concisely. Think about how you would explain technical concepts to someone without a technical background. Strong communication skills can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your analytical thinking and problem-solving abilities. Prepare examples of past challenges you've faced in data analysis and how you overcame them. This will showcase your proactive approach and ability to thrive in a fast-paced environment.
