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- Tasks: Join a dynamic team to optimise data quality and manage internal data pipelines.
- Company: A leading hedge fund with billions in assets under management, focused on data-driven decision making.
- Benefits: Enjoy a lucrative salary, performance bonuses, and flexible work-from-home options after onboarding.
- Why this job: Be at the forefront of data management in finance, collaborating with top teams and driving impactful projects.
- Qualifications: 2-7 years in data operations, strong coding skills in SQL, Python, or similar languages required.
- Other info: This is a newly created role with significant growth potential in a fast-paced environment.
The predicted salary is between 75000 - 125000 £ 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 Quality 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 Quality Analyst/Engineer - Major Hedge Fund - Lucrative Total Comp Package
✨Tip Number 1
Familiarise yourself with the specific data management tools and technologies mentioned in the job description, such as SQL, Python, and VBA. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Network with professionals already working in hedge funds or financial services, especially those in data roles. 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 scenarios where you've successfully managed data quality or resolved data-related issues. Being able to articulate your problem-solving process and the impact of your work will demonstrate your capability for this role.
✨Tip Number 4
Stay updated on the latest trends and challenges in data management within the financial sector. Showing that you are knowledgeable about current industry practices can set you apart and show your genuine interest in the role.
We think you need these skills to ace Data Quality 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, data governance, and the use of programming languages like SQL, Python, or VBA. Emphasise any previous roles in hedge funds or asset management to align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the importance of data quality in financial services. Mention specific projects or experiences where you successfully managed data pipelines or conducted quality checks.
Highlight Technical Skills: In your application, clearly outline your technical skills and experience with complex datasets. Provide examples of how you've used your coding knowledge to solve problems or improve processes in previous roles.
Showcase Collaboration Experience: Since the role involves working closely with various teams, include examples of past collaborations with operations, trading, or research teams. Highlight your ability to communicate effectively and act as a liaison between technical and non-technical stakeholders.
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 conduct quality checks or analyse complex datasets in your previous roles.
✨Understand the Hedge Fund Environment
Familiarise yourself with the specific challenges and operations of hedge funds. Be ready to discuss how data quality impacts trading decisions and risk management, demonstrating your understanding of the financial services sector.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past experiences where you identified anomalies in data or optimised data pipelines, and be prepared to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with various teams, be sure to convey your ability to collaborate effectively. Share examples of how you've successfully worked with operations, trading, or technology teams to achieve common goals.
