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- Tasks: Join a dynamic team to optimise data operations and ensure smooth data transmission.
- Company: A leading hedge fund with billions in assets under management, known for innovation.
- Benefits: Enjoy a lucrative salary, bonus potential, and flexible work-from-home options after onboarding.
- Why this job: Be part of a high-impact role that bridges data engineering and trading, shaping financial decisions.
- Qualifications: 2-7 years in data operations; strong coding skills in SQL, Python, or similar required.
- Other info: Work closely with top-tier teams and engage in exciting ad hoc projects.
The predicted salary is between 72000 - 140000 £ per year.
A high performing, multi-billion dollar AUM hedge fund are looking to make a newly created Data Analyst hire into their rapidly growing centralised Data Management team. Reporting into the Global Head of Data and taking on a highly visible role within the team, the hire will be working very closely with Operations, Product Control, Risk, Trading and Research teams to ensure the smooth transmission of data, in a role that has a highly technical / engineer angle.
You will optimize the operation and quality management of the internal data pipeline with oversight of raw data initially being onboarded through to the delivery of datapoints to front office/investment teams. You will use your technical knowledge of languages such as SQL/python/VBA/Matlab to conduct quality checks and anomaly identification, by interrogating complex dataset analysis.
The hire will act as the main interface between data sourcing and data engineering and be the point of contact for Traders. The hire will also take on ad hoc projects working with front office and technology teams to assist with testing new dataset onboarding platforms, setting data governance metrics and assisting with developing a centralized data management platform.
Candidates should have 2 – 7 years of experience as a Data Operations Specialist / Data Solutions Analyst / Data Governance Analyst at a hedge fund, asset manager or a major data vendor. Candidates must have a strong academic profile with experience using advanced coding/programming languages to analyse large datasets ideally as part of an existing Data team within the financial services sector.
The role is offering a base salary of up to £125K + a bonus that can be a large % of base for a top performer. Whilst the hire should expect to work a 5 day office week initially, it will be possible to WFH 1-2 days per week once established in the role.
Data Operations & Governance Analyst/Engineer - Major Hedge Fund – Lucrative Total Comp Package employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations & Governance Analyst/Engineer - Major Hedge Fund – Lucrative Total Comp Package
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Python, and VBA. Being able to demonstrate your proficiency in these languages during discussions can set you apart from other candidates.
✨Tip Number 2
Network with professionals already working in hedge funds or similar financial institutions. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've optimised data operations or improved data quality in previous roles. Having concrete examples ready will help you illustrate your experience and problem-solving skills effectively.
✨Tip Number 4
Stay updated on the latest trends in data governance and management within the financial sector. Showing that you're knowledgeable about current challenges and innovations can impress interviewers and demonstrate your commitment to the field.
We think you need these skills to ace Data Operations & Governance Analyst/Engineer - Major Hedge Fund – Lucrative Total Comp Package
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data operations and governance. Emphasise your technical skills in SQL, Python, VBA, or Matlab, and showcase any projects where you've optimised data pipelines or conducted quality checks.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the role. Mention your experience working with cross-functional teams and how you can contribute to the centralised Data Management team.
Showcase Your Technical Skills: In your application, provide examples of how you've used your coding skills to analyse large datasets. Include any specific achievements or projects that demonstrate your ability to identify anomalies and improve data quality.
Highlight Relevant Experience: Clearly outline your previous roles in data operations or governance, especially within hedge funds or asset management. Detail your responsibilities and the impact of your work on data management processes.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python, VBA, and Matlab during the interview. Prepare examples of how you've used these languages to analyse large datasets or solve complex problems in previous roles.
✨Understand the Hedge Fund Environment
Familiarise yourself with the specific challenges and operations of hedge funds. Be ready to discuss how data governance and operations play a crucial role in trading and investment decisions.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to identify anomalies in data or optimise data pipelines, and be prepared to explain your thought process and outcomes.
✨Demonstrate Collaboration Skills
Since the role involves working closely with various teams, be prepared to discuss your experience in cross-functional collaboration. Share examples of how you've effectively communicated with traders, operations, and technology teams in past projects.
