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- Tasks: Join a dynamic team to optimise data management and ensure smooth data transmission.
- Company: Be part of a leading hedge fund with billions in assets under management.
- Benefits: Enjoy a lucrative salary, bonuses, and flexible work-from-home options after settling in.
- Why this job: Work on impactful projects, collaborate with top professionals, and enhance your technical skills.
- Qualifications: 2-7 years in data roles, strong coding skills in SQL, Python, VBA, or Matlab required.
- Other info: This is a newly created role with significant growth potential in a fast-paced environment.
The predicted salary is between 72000 - 100000 £ 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 Infrastructure & 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 Infrastructure & Governance Analyst/Engineer - Major Hedge Fund – Lucrative Total Comp Package
✨Tip Number 1
Network with professionals in the hedge fund and financial services sector. Attend industry events, webinars, or meetups to connect with people who work in data roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Python, and VBA. Consider taking online courses or working on personal projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 3
Prepare for technical interviews by practising problem-solving questions related to data analysis and governance. Use platforms like LeetCode or HackerRank to sharpen your coding skills and get comfortable with the types of challenges you might face during the interview process.
✨Tip Number 4
Research the hedge fund's recent projects and initiatives related to data management. Being knowledgeable about their current challenges and how you can contribute will demonstrate your genuine interest in the role and help you stand out during discussions.
We think you need these skills to ace Data Infrastructure & 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, governance, and analysis. Emphasise your technical skills in SQL, Python, VBA, or Matlab, and showcase any projects that demonstrate your ability to work with large datasets.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific requirements of the role. Mention your experience in the financial services sector and how it aligns with the hedge fund's needs, particularly in data management and governance.
Showcase Technical Proficiency: In your application, provide examples of how you've used your technical skills to solve problems or improve processes. Highlight any experience with data quality checks, anomaly identification, or working with data pipelines.
Highlight Collaboration Skills: Since the role involves working closely with various teams, emphasise your ability to collaborate effectively. Include examples of past experiences where you successfully worked with cross-functional teams, such as Operations, Trading, or Research.
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 infrastructure play a crucial role in trading and risk management within this context.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to optimise data pipelines or resolve data quality issues, and be prepared to explain your thought process and the 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 operations, trading, or research teams to achieve common goals.
