Remote Founding Quant Researcher - On-Chain Hedging Lead

Remote Founding Quant Researcher - On-Chain Hedging Lead

Full-Time Working from home possible
Unchain Data

At a Glance

  • Tasks: Build the research function and develop frameworks for trader classification and risk management.
  • Company: Join Unchain Data, a pioneering company in the crypto space.
  • Benefits: Attractive salary, equity options, and remote work flexibility.
  • Other info: Opportunity to work remotely with occasional visits to our London office.
  • Why this job: Shape the future of trading with your expertise in a dynamic environment.
  • Qualifications: Strong mathematical skills and expertise in derivatives required.

Unchain Data is looking for a founding quant researcher to build the research function from scratch. You'll play a key role in developing frameworks for trader classification and risk management in live trading environments.

Strong mathematical skills and expertise in derivatives are essential. The position offers an attractive salary range of $200,000 – $250,000, along with equity in the company. Remote work is supported, with an office in London available for visits.

Remote Founding Quant Researcher - On-Chain Hedging Lead employer: Unchain Data

Unchain Data is an exceptional employer that fosters innovation and growth, offering a unique opportunity for a founding quant researcher to shape the future of on-chain hedging. With a competitive salary and equity options, alongside a flexible remote work culture complemented by access to a London office, employees are empowered to thrive in a collaborative environment that values their contributions and encourages professional development.

Unchain Data

Contact Details:

Unchain Data Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Founding Quant Researcher - On-Chain Hedging Lead

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Apply Directly through Our Website

When you find a suitable opening like Remote Founding Quant Researcher - On-Chain Hedging Lead at Unchain Data, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Remote Founding Quant Researcher - On-Chain Hedging Lead

Mathematical Skills
Expertise in Derivatives
Quantitative Research
Risk Management
Trader Classification
Framework Development
Live Trading Environments

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Unchain Data, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Unchain Data. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Unchain Data

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Unchain Data!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.