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For Companies At a Glance
- Tasks: Analyse data for trading and modelling while ensuring accuracy in security valuation and compliance.
- Company: Join a leading hedge fund known for its innovative approach to finance and data analysis.
- Benefits: Enjoy competitive pay, potential remote work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values collaboration and drives impactful financial decisions.
- Qualifications: A degree in STEM and 2 years of relevant experience in finance or data analysis are essential.
- Other info: Familiarity with Python, SQL, and various asset classes is a plus!
The predicted salary is between 43200 - 72000 £ per year.
A leading hedge fund wishes to recruit a data analyst who will be responsible for back office pricing as well as time series data for trading/modelling/analysis whilst working closely with other departments within Management & Control to ensure the accuracy and best practices in security valuation, compliance and risk management.
Main Responsibilities
- Contribute to the evaluation and enhancement of processes and technologies to improve data accuracy, timeliness, and efficiency.
- Engage regularly with users of financial data to identify, access, and query series of interest within internal databases, including a third-party tick database. These users include, but are not limited to, Trading, Global Research, Middle Office, Risk and Compliance.
- For new projects or data-related production changes determine detailed specifications and resource requirements and coordinate prioritization and approval with other groups.
- Test content for proper QA and review/approve for production release.
- When new data services are needed evaluate potential data sources and cost/resources.
- Collaborate with our offshore Data Operations team to oversee their processes, including cross-checking, verifying, and updating security and economic data.
- Serve as an escalation point for Level II requests from this team.
Experience Required
- A BA/BS degree with a strong academic background in STEM fields, ideally focusing on Data, Mathematics, Statistics, Data Analysis, or another quantitative discipline.
- Minimum of 2 years of experience in a similar role at an investment firm or a financial data-related role at another type of firm (auditor, data vendor, govt agency, or other), with a solid understanding of data quality management, data architecture, and business intelligence.
- A good understanding of Python, including fundamental knowledge and a willingness to learn, along with familiarity with packages such as NumPy, pandas, and scikit-learn.
- Proficiency in SQL is required, along with experience in Unix and familiarity with scheduling tools like Tidal and Airflow.
- Good understanding of various asset classes such as Equities, Fixed Income, Derivatives, and Commodities.
Data Analyst - Hedge Fund employer: MW Recruitment Limited
Contact Detail:
MW Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Hedge Fund
✨Tip Number 1
Network with professionals in the hedge fund industry. Attend finance and data analytics meetups or webinars to connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, Python, and data management practices. Consider taking online courses or certifications to boost your skills and demonstrate your commitment to learning.
✨Tip Number 3
Prepare for potential technical interviews by practising common data analysis problems and case studies relevant to hedge funds. This will help you showcase your analytical skills and problem-solving abilities during the interview process.
✨Tip Number 4
Stay updated on current trends in the financial markets and data analytics. Being knowledgeable about recent developments can help you engage in meaningful conversations during interviews and show your passion for the industry.
We think you need these skills to ace Data Analyst - Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in financial contexts. Emphasise your skills in Python, SQL, and any familiarity with data quality management or business intelligence tools.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Data Analyst position at the hedge fund. Mention specific experiences that relate to the responsibilities outlined in the job description, such as working with time series data or collaborating with different departments.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and any other relevant programming languages or tools. Provide examples of how you've used these skills in previous roles, especially in relation to data accuracy and efficiency.
Highlight Collaborative Experience: Since the role involves working closely with various teams, include examples of past collaborative projects. Describe how you contributed to team goals and how your input improved processes or outcomes in your previous positions.
How to prepare for a job interview at MW Recruitment Limited
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially with libraries like NumPy and pandas, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with the hedge fund's operations and the various asset classes they deal with. This knowledge will help you articulate how your role as a data analyst can contribute to their trading, risk management, and compliance efforts.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would handle data quality issues or collaborate with different departments to improve processes, as these are key aspects of the role.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with various teams, be ready to discuss your experience in cross-departmental collaboration. Share examples of how you've effectively communicated and coordinated with others to achieve common goals.
