Entry-Level Quantitative Analyst

Description

Entry-Level Quantitative Analyst (Remote)

🚀 Introduction: Join the Numbers Revolution

Welcome to the future of financial intelligence! This entry-level Quantitative Analyst role might be your dream ticket if you see numbers as a playground and models as a canvas. We’re not your average analytics team — dreamers, doers, and disruptors in the data economy, building more innovative ways to understand and optimize complex systems. We're rewriting modern finance's decisions with innovation at our core and a fully remote culture to support your rhythm. We're seeking a curious, creative, and ambitious mind to join our ranks. Are you in?

🌟 What Makes Us Different

We're a team of tech-savvy thinkers passionate about harnessing data to drive real-world outcomes. From day one, we've believed that creativity belongs in every equation and that bold thinking isn't optional — it's essential. Our projects range from designing high-frequency models to exploring behavioral finance trends and automating risk strategies using cutting-edge tools. If you love combining logic with imagination, you’ll thrive here.

📊 Key Responsibilities

Your journey as a Quantitative Analyst will include tasks that stretch your critical thinking and elevate your problem-solving skills. Expect to:

  • Design and refine statistical models to support trading strategies and risk analysis
  • Dive deep into historical data and emerging market trends to derive actionable insights
  • Collaborate with data scientists and financial engineers on machine learning experiments
  • Build automated dashboards for real-time performance tracking
  • Test hypotheses through simulations and stress testing
  • Ensure accuracy and reproducibility in all models and analyses
  • Contribute to technical documentation and data transparency initiatives

🧠 The Ideal You: Creative Meets Analytical

You're not just about crunching numbers — you’re about finding the story behind them. You possess the analytical rigor of a chess grandmaster but can explain complex ideas like you're chatting over coffee.

We’re looking for someone who:

  • Thrives in ambiguity and is excited by novel challenges
  • Has a proactive mindset and isn’t afraid to take ownership
  • Possesses excellent time management skills in a remote setup
  • Has an innate curiosity and desire to grow intellectually
  • Believes that communication is just as crucial as computation

💻 Tools, Tech, and Techniques You’ll Use

We equip our analysts with the best tools available, but we're always open to better ones — especially if you suggest them! Here's what’s commonly in play:

  • Python, R, or Julia for model development
  • SQL for efficient data extraction and manipulation
  • Jupyter Notebooks and Git for version control
  • Tableau and custom-built dashboards for visual storytelling
  • APIs for market data integration and real-time analytics
  • AWS or GCP-based cloud environments

Whether you're already skilled in these or eager to learn them, we’ll support your growth every step of the way.

🌍 Work Environment: Freedom + Structure

We believe in freedom with direction. As a remote-first company, you’ll enjoy the flexibility to work from anywhere worldwide. Our teams span continents and time zones, but our culture keeps us connected. You’ll engage in:

  • Weekly strategy sprints and knowledge-sharing sessions
  • Virtual hangouts and remote coffee chats
  • Mentorship programs to accelerate your professional journey
  • Slack channels full of data jokes, financial memes, and code banter

📚 Qualifications That Impress Us

We’re less concerned about where you studied and more interested in how you think. However, some background knowledge does help:

  • A bachelor’s degree (or higher) in Mathematics, Statistics, fields like computational science, systems engineering, applied physics, or related disciplines
  • Exposure to probability theory, linear algebra, and time series analysis
  • Basic coding proficiency in at least one analytical language (Python preferred)
  • Familiarity with data wrangling techniques and statistical inference
  • Demonstrated interest in financial systems, crypto markets, or algorithmic strategies

Bonus points if you’ve explored a passion project or contributed to open-source analytics tools!

📈 Growth Opportunities

The beauty of this entry-level role is the ladder it offers. You'll find fertile ground here if your sights are set on quantitative development, financial engineering, or strategy design. You’ll have access to:

  • Tailored learning plans and certifications
  • Internal mobility to switch teams and deepen skillsets
  • 1:1 mentorship from senior quants and engineers
  • Visibility into cross-functional projects and leadership pathways

🎁 Perks & Benefits

We don't just want you to work well — we want you to live well too. Here's a sneak peek into the perks you’ll enjoy:

  • 💰 Annual salary of $137,149
  • 🏖️ Generous PTO and flexible holidays
  • 🌐 Fully remote setup with home office support
  • 🧘 Wellness stipend for gym, meditation apps, or even a yoga llama class (yes, we tried it)
  • 📘 Access to paid courses, conferences, and research journals
  • 🌍 Global meetups and hackathons (optional but excellent!)

🎯 Ready to Dive In?

If you've made it this far, you're serious about building a career where your passion for numbers, strategy, and innovation can flourish. The role of an Entry-Level Quantitative Analyst isn’t just a stepping stone — it’s a launchpad. Here, your ideas matter, your curiosity is welcomed, and your growth is guaranteed.

📩 Don’t let this opportunity calculate itself away — apply now and become part of a data-driven team that thrives on creativity, collaboration, and forward thinking.

Your following equation awaits. Let’s solve it together!