Associate, Quantitative Data Operations
Associate, Quantitative Data Operations

Associate, Quantitative Data Operations

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team ensuring accurate portfolio risk analytics for effective risk management.
  • Company: Fidelity, a leader in asset management with a focus on innovation.
  • Benefits: Full-time role with competitive salary and opportunities for professional growth.
  • Why this job: Make a real impact by enhancing data quality in investment strategies.
  • Qualifications: Degree in a quantitative field and experience in data operations.
  • Other info: Collaborative environment with a strong emphasis on career development.

The predicted salary is between 36000 - 60000 £ per year.

Associate, Quantitative Data Operations page is loaded## Associate, Quantitative Data Operationslocations: London, Great Britaintime type: Full timeposted on: Posted Todayjob requisition id: 2119120## ## Job Description:The Position:Quantitative Research and Investments (QRI) is seeking a highly motivated data expert in the domain of portfolio risk analytics to join a risk platform operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction across Fidelity are delivered consistently, accurately and on a timely basis.The Risk Platform Operations team are the stewards of risk analytics data for Fidelity Asset Management. They focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings.In this role, you will utilize domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer portfolio and risk manager questions, and develop automated systems for identifying data quality issues.The Value You Deliver:Act as the steward of data assets used in risk management and portfolio construction Be responsible for a quality services effort to respond to data quality issues in overnight feeds, enabling fast and seamless responses to upstream issues and insulating production and research from them Update and verify the multi factor risk model inputs and outputs before delivery to clients Enable Fidelity Asset Management’s access to accurate, timely and relevant portfolio risk analytics, working closely with key technology and business partners to correct data quality issues at source Analyze systems and processes to find efficiencies and improve accuracy and timeliness of reportingThe Skills You Bring:Experience with market risk models from vendors such as Barra, Axioma, Northfield, or Bloomberg Highly analytical with the ability to quickly comprehend large data sets, develop and implement the right quality controls for these datasets Highly proactive and self-motivated with the ability to meet objectives under minimal direction Experience with vendor-provided risk data and capabilities, including Bloomberg PORT, BarraOne, RiskManager and/or Axioma Experience in security, company, portfolio, and index-level information used in financial industry, including pricing for various security types (equities, bonds, derivatives) and construction of holdings Experience in SQL, Python, Snowflake and / or Oracle and related tools and DQ frameworksThe Expertise You Have:Bachelor’s degree (or higher) in mathematics, statistics, engineering, computer science, finance, or another quantitative field 3+ years’ experience in global data operations and/or support teams in peer firm(s) with a demonstrable track record delivering the value described for this role Experience with methods, tools, statistics, and best practices for autonomous and discretionary anomaly detection, and data quality workflow Excellent written and verbal communication skills; experience working with both technical and investment teams Proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments Demonstrated ability to root-cause data quality issues in complex environments and work with other teams and data providers to correct issues at source Experience in creating automated processes to identify errors to ensure high quality of data to support the investment process Experience in documenting essential procedures and calculations, and validating data Investment Management business domain expertise across some combination of risk management, portfolio management, trading and investment operationsThe Team:The Risk Platform Operations team is an integral part of the Quantitative Research and Investing (QRI) division in Asset Management. QRI is responsible for the management and development of quantitative investment strategies and solutions while providing high quality quantitative, data-driven support to Fidelity’s fundamental investment professionals, ensuring they have access to the most relevant data and advanced quantitative analysis.## ## Certifications:## ## Category:## Data Analytics and Insights #J-18808-Ljbffr

Associate, Quantitative Data Operations employer: Soteria Reinsurance Ltd.

Fidelity is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, access to cutting-edge technology, and a culture that values data integrity and quality. With opportunities for growth within the Quantitative Research and Investments division, team members are empowered to make impactful contributions to portfolio risk analytics while enjoying a supportive and inclusive workplace.
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Contact Detail:

Soteria Reinsurance Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Associate, Quantitative Data Operations

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience with data operations to demonstrate how you tackle challenges.

✨Tip Number 3

Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar.

✨Tip Number 4

Check out our website for the latest job openings. We’re always looking for talented individuals like you to join our team, so don’t miss out on the chance to apply directly!

We think you need these skills to ace Associate, Quantitative Data Operations

Data Quality Control
Portfolio Risk Analytics
Market Risk Models
SQL
Python
Snowflake
Oracle
Data Analysis
Anomaly Detection
Communication Skills
Problem-Solving Skills
Automation of Processes
Financial Data Expertise
Attention to Detail
Self-Motivation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Associate, Quantitative Data Operations role. Highlight your experience with data quality control and risk analytics, as these are key aspects of the job. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your background makes you a great fit for our team. Don’t forget to mention any relevant tools or technologies you’ve worked with, like SQL or Python.

Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and experience with large datasets. We love candidates who can demonstrate their ability to root-cause issues and improve processes, so share specific examples from your past work!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Soteria Reinsurance Ltd.

✨Know Your Data Inside Out

Make sure you’re well-versed in the types of data and analytics tools mentioned in the job description. Brush up on your knowledge of market risk models, SQL, Python, and any specific vendor tools like Bloomberg or Axioma. Being able to discuss these confidently will show that you’re not just familiar with the concepts but can also apply them.

✨Prepare for Technical Questions

Expect to face technical questions that assess your analytical skills and problem-solving abilities. Practice explaining how you would approach data quality issues or how you’ve resolved similar problems in the past. Use real examples from your experience to illustrate your thought process and solutions.

✨Showcase Your Communication Skills

Since the role involves working with both technical and investment teams, it’s crucial to demonstrate your ability to communicate complex data insights clearly. Prepare to discuss how you’ve effectively communicated findings in previous roles, and be ready to explain technical concepts in layman's terms.

✨Ask Insightful Questions

At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the team’s current challenges with data quality or how they measure success in risk analytics. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Associate, Quantitative Data Operations
Soteria Reinsurance Ltd.
Location: City of London
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