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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 with 2+ years in data analysis; Python and SQL skills are essential.
- Other info: Opportunity to work with cutting-edge technologies and engage with various departments.
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.
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 analysis 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 working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 3
Prepare for potential technical interviews by brushing up on your data analysis skills. Practice solving problems using Python and SQL, and be ready to discuss your approach to data quality management and business intelligence.
✨Tip Number 4
Stay updated on industry trends and news related to hedge funds and data analysis. Being knowledgeable about current events can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
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're interested in the Data Analyst position at a hedge fund. Mention specific experiences that demonstrate your ability to enhance processes and technologies for data accuracy and efficiency.
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 analysis and financial data.
Highlight Collaboration Experience: Since the role involves working closely with various departments, include examples of past collaborative projects. Describe how you engaged with different teams to improve data processes or resolve issues, showcasing your communication skills.
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. Being able to discuss how data analysis impacts trading, risk management, and compliance will show that you understand the bigger picture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you improved data accuracy or efficiency, and be ready to explain your thought process and the outcomes.
✨Engage with the Interviewers
Don't hesitate to ask insightful questions about the team dynamics and the tools they use. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
