Junior Quant / Financial Engineering

To apply for the Junior Quant position at Premia, a Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or a related field is required. A strong foundation in programming, particularly with Python, and a basic understanding of financial concepts such as risk metrics and options pricing will also enhance your candidacy.

Premia is looking for candidates with 0-2 years of experience in quantitative development. While not mandatory, previous exposure to blockchain concepts, DeFi, and programming languages can greatly benefit applicants. The key is a passion for this evolving field and readiness to learn.

As a Junior Quant at Premia, you'll be tasked with developing and maintaining our options trading infrastructure, implementing risk monitoring systems, and creating data pipelines for market data. You'll closely interact with various teams to iterate and deploy new features, contributing significantly to our product enhancements.

Candidates for the Junior Quant position at Premia should have strong Python programming skills, experience with real-time data processing using tools like FastStream and Redis, and familiarity with cloud platforms such as AWS or GCP. An understanding of git and collaborative development practices is also essential.

At Premia, we foster a culture of continuous learning and rapid iteration. As a Junior Quant, you will have access to a collaborative work environment that encourages knowledge sharing and professional growth. Our fully remote setup allows you to learn from global talent while contributing to meaningful projects.

Premia prides itself on being a fully remote organization with a globally distributed team. This environment is fast-paced and collaborative, making it an exciting place for innovation. You’ll have the opportunity to work closely with diverse teams, driving projects that impact the future of decentralized financial markets.

In the role of Junior Quant at Premia, you will enhance your analytical and problem-solving skills, gain practical programming experience, and deepen your understanding of financial engineering in the context of DeFi. You’ll also improve your abilities in developing real-time trading infrastructure and risk management systems.

When building trading infrastructure, I start by identifying the requirements and understanding the market dynamics. I ensure robust data processing using real-time tools, like FastStream and Redis, and design systems that are scalable and secure, integrating blockchain aspects where necessary.

The Black-Scholes model is a mathematical model for pricing European options, focusing on factors such as the underlying asset price, strike price, time until expiration, risk-free interest rate, and volatility. Understanding these variables helps me evaluate options pricing and better manage financial risk.

To monitor risk effectively in crypto options trading, I would build real-time monitoring systems that assess market conditions and the performance of positions. Utilizing tools like FastStream for data processing and algorithms to calculate Greeks can provide insights that help mitigate risks.

In my previous roles, I utilized git for version control and collaboration on software projects. I believe in clear commit messages and thorough documentation, which promotes teamwork and ensures everyone is aligned on changes and developments in the project.

I actively follow DeFi news through reputable blogs, engage with online communities, and attend webinars and conferences that focus on developments in quantitative finance. Continuous learning is key, and I regularly take courses to deepen my understanding of emerging technologies and concepts.

I have experience with various Web3 libraries, such as Web3.js and Ethers.js, which I use to interact with Ethereum smart contracts and manage blockchain transactions. Understanding these tools helps me integrate decentralized applications smoothly.

To optimize portfolio margin calculations, I would analyze historical data and market volatility, applying mathematical models to accurately reflect risk. Creating efficient algorithms can help maintain precision in calculations while improving processing speed.

In a fast-paced environment, I prioritize tasks by urgency and importance, enabling me to focus on high-impact work. I believe clear communication with teammates is essential for organized collaboration, ensuring that we collectively navigate pressure effectively.

My approach to problem-solving in quantitative analysis involves breaking down complex problems into smaller components. I evaluate potential solutions based on quantitative methods, using data-driven insights to guide decisions while keeping an eye on the overall objective.

Options Greeks are quantitative measures that describe the various risks related to an option's price. Understanding Greeks like Delta, Gamma, Vega, and Theta allows traders to assess how different factors, including price movements and volatility, impact their options positions, which is crucial for effective risk management.