Equity Quant Researcher: Alpha Signals & Live Trading
Equity Quant Researcher: Alpha Signals & Live Trading

Equity Quant Researcher: Alpha Signals & Live Trading

Full-Time 60000 - 80000 £ / year (est.) No home office possible
DRW

At a Glance

  • Tasks: Develop alpha signals and models for mid-frequency equity strategies.
  • Company: Join DRW, a dynamic firm prioritising innovation and integrity.
  • Benefits: Competitive salary, collaborative environment, and opportunities for growth.
  • Other info: Work closely with a Portfolio Manager in a fast-paced setting.
  • Why this job: Make an impact in finance with cutting-edge quantitative research.
  • Qualifications: 2-8 years of quant equities experience and strong Python skills.

The predicted salary is between 60000 - 80000 £ per year.

DRW is seeking a Quantitative Researcher in Greater London to focus on alpha generation and model development for mid-frequency equity strategies. The role involves collaboration with a Portfolio Manager, requiring 2-8 years of quant equities experience, strong programming skills in Python, and familiarity with diverse datasets. An advanced degree in a quantitative discipline is essential. Join DRW to work in a dynamic environment prioritising innovation and integrity.

Equity Quant Researcher: Alpha Signals & Live Trading employer: DRW

At DRW, we pride ourselves on being an exceptional employer in Greater London, offering a vibrant work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship from experienced professionals, making it an ideal environment for those passionate about quantitative research. Join us to be part of a forward-thinking team where your contributions directly impact our success in the fast-paced world of equity trading.
DRW

Contact Detail:

DRW Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Equity Quant Researcher: Alpha Signals & Live Trading

✨Tip Number 1

Network like a pro! Reach out to professionals in the quant finance space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and any alpha models you've developed. This gives potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for technical interviews by brushing up on your quantitative skills and coding challenges. Practice makes perfect, so get comfortable with the types of questions you might face.

✨Tip Number 4

Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at DRW. It shows initiative and enthusiasm, which we value highly.

We think you need these skills to ace Equity Quant Researcher: Alpha Signals & Live Trading

Quantitative Research
Alpha Generation
Model Development
Mid-Frequency Equity Strategies
Collaboration
Quant Equities Experience
Programming Skills in Python
Familiarity with Diverse Datasets
Advanced Degree in a Quantitative Discipline
Innovation
Integrity

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience with quant equities. We want to see how your background aligns with the role, so don’t hold back!

Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at DRW

✨Know Your Quantitative Stuff

Make sure you brush up on your quantitative skills and be ready to discuss your experience with alpha generation and model development. Be prepared to explain your thought process behind any models you've developed and how they performed.

✨Show Off Your Python Skills

Since strong programming skills in Python are a must, practice coding problems related to quantitative finance. You might be asked to solve a problem on the spot, so being comfortable with Python syntax and libraries will give you an edge.

✨Familiarise Yourself with Diverse Datasets

Get to know various datasets that are commonly used in equity strategies. Be ready to discuss how you've worked with different types of data in the past and how you can leverage them for mid-frequency trading.

✨Collaborate Like a Pro

As this role involves working closely with a Portfolio Manager, think about examples from your past where collaboration led to successful outcomes. Highlight your communication skills and how you can contribute to a dynamic team environment.

Equity Quant Researcher: Alpha Signals & Live Trading
DRW

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