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- Tasks: Join an equity trading team to manage and analyse data for better investment decisions.
- Company: Work with one of the world's largest systematic hedge funds, renowned for its data-driven approach.
- Benefits: Enjoy a market-leading salary of $325k and flexible hybrid work options.
- Why this job: Be part of a cutting-edge data ecosystem that drives impactful trading strategies.
- Qualifications: Experience in data engineering with strong skills in Python, SQL, and knowledge of trading.
- Other info: Opportunity to collaborate with top professionals in a dynamic and innovative environment.
I'm collaborating with an equity trading team, embedded within one of the world's largest systematic hedge funds. To aid their seamless data-driven ecosystem, they're looking for a Data Engineer to assist several PM teams. The firm has a huge data organisation underpinning the trading lifecycle, and they place data analytics and data science teams embedded in the front office to enable more data-driven trades and investments.
The role entails bringing on targeted data sets, pipelining these, and helping to wrangle and analyse the data, ready to assist in signal generation.
Stack: Python, AWS, ETL, SQL
The client is looking to speak to varied Data Engineers from trading backgrounds, with someone technically astute with Python and SQL as well as multiple asset classes. If you would like the chance to earn a market-leading salary with the opportunity to work in a hybrid model, then please do apply.
Data Engineer - Equity Trading - Quant Hedge Fund - $325k employer: Paragon Alpha - Hedge Fund Talent Business
Contact Detail:
Paragon Alpha - Hedge Fund Talent Business Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Equity Trading - Quant Hedge Fund - $325k
✨Tip Number 1
Familiarise yourself with the specific data tools and technologies mentioned in the job description, such as Python, AWS, ETL, and SQL. 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 in the equity trading and hedge fund space. Attend industry events or join relevant online forums to connect with people who can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with data wrangling and analysis in detail. Be ready to share specific examples of how you've used data to drive decisions or improve processes, especially in a trading context, as this will demonstrate your relevance to the role.
✨Tip Number 4
Research the firm’s approach to data-driven trading strategies. Understanding their methodology and being able to articulate how your skills can contribute to their goals will show your genuine interest and alignment with their mission.
We think you need these skills to ace Data Engineer - Equity Trading - Quant Hedge Fund - $325k
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific responsibilities of a Data Engineer in an equity trading environment. Highlight your experience with data pipelining, wrangling, and analysis, especially in relation to signal generation.
Tailor Your CV: Make sure your CV reflects your technical skills in Python, SQL, and any relevant experience with AWS and ETL processes. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the trading lifecycle. Mention specific projects or experiences that demonstrate your ability to work with large datasets and contribute to data-driven decision-making.
Highlight Relevant Experience: In your application, emphasise any previous roles you've had in trading environments or similar fields. Discuss your familiarity with multiple asset classes and how this knowledge can benefit the team.
How to prepare for a job interview at Paragon Alpha - Hedge Fund Talent Business
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've used these technologies, especially in a trading context, as this will demonstrate your technical prowess and relevance to the role.
✨Understand the Trading Lifecycle
Familiarise yourself with the trading lifecycle and how data plays a crucial role in it. Being able to articulate how your work as a Data Engineer can impact trading decisions will impress the interviewers and show your understanding of the industry.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach data wrangling and analysis in real-world situations, particularly in relation to signal generation for trading strategies.
✨Demonstrate Your Collaborative Spirit
Since the role involves working closely with various PM teams, emphasise your ability to collaborate effectively. Share examples of past experiences where teamwork led to successful outcomes, showcasing your interpersonal skills.
