Quantitative Developer

Quantitative Developer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Quantitative Developer, tackling open-ended problems and building innovative financial products.
  • Company: We're a fast-growing fintech start-up revolutionising the information economy with cutting-edge software solutions.
  • Benefits: Enjoy competitive salary, employee stock options, private health insurance, and a dedicated learning budget.
  • Why this job: Be part of a dynamic team, where every day brings new challenges and opportunities for growth.
  • Qualifications: Strong Python skills, experience with SQL, cloud deployments, and a passion for financial data are essential.
  • Other info: This role is on-site in London; no remote work or immigration sponsorship available.

The predicted salary is between 43200 - 72000 £ per year.

We are a rapidly growing start-up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion dollar markets, but this is just the beginning.

We are a fin-tech start-up with a successful suite of products, now ready to build the next big thing. You must thrive working on open-ended problems across a range of disciplines; we are a start-up where our engineers do much more than just pick up JIRA tickets. A typical week may include debugging Python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the team leads. We hire the person not the CV; if you’re interested, we’d love to hear from you!

This is a full-time role, expected to start immediately.

Responsibilities:
  • Working with product managers, research analysts and other engineers to define project scope and requirements.
  • Maintaining, extending and improving Intropic’s suite of products.
  • Writing clean, well-tested and production-ready Python code.
  • Working alongside the team leads to design and build a great product.
  • Developing REST APIs, data processing pipelines, and Python libraries.
  • Deploying production-quality code; we focus on being pragmatic and impactful.
  • Maintaining and monitoring production systems and assisting with support.
Requirements:
  • Strong communication with both a technical and non-technical audience.
  • Independent and self-driven learner, able to step outside of their area of expertise.
  • Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas.
  • SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL.
  • Cloud (AWS) deployments and monitoring, basic networking and security best practices.
  • Command line familiarity, git, automated testing, modern software development best practices.
  • Docker, Terraform, CI/CD.
  • Experience working with stakeholders and customers throughout the product life cycle.
  • Experience with financial data (equity securities).
  • Experience with traditional ML/statistical models.
  • Experience with transformer LLMs.

You’ll have the opportunity to experience a dynamic role where no two days are the same. You will be working with a diverse group of smart, passionate, and entrepreneurial thinkers who will help you grow and refine your skills, providing you with opportunities that will unlock your potential. We're seeking individuals with experience taking a new product to market, eager to contribute to a dynamic and growing team. We offer a competitive salary, along with employee stock options and performance-based bonus. Our benefits include private health insurance and a dedicated learning budget to support your professional development.

This role is on-site at our offices in 30 Churchill Place, E14 5RE, London. We do not offer remote working options for this role. Please further note that we do not provide immigration sponsorship for this position.

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Contact Detail:

Intropic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Python, SQL, and AWS. Being able to discuss your experience with these tools in detail will show that you're not just a good fit on paper, but also have practical knowledge.

✨Tip Number 2

Prepare to demonstrate your problem-solving skills during the interview. Since the role involves tackling open-ended problems, think of examples from your past experiences where you successfully navigated complex challenges, especially in a tech or finance context.

✨Tip Number 3

Engage with the company’s products and services before your interview. Understanding how they work and their impact on the information economy will allow you to speak more passionately and knowledgeably about the role and the company’s mission.

✨Tip Number 4

Network with current or former employees if possible. They can provide insights into the company culture and expectations, which can help you tailor your approach and questions during the interview process.

We think you need these skills to ace Quantitative Developer

Python Programming
REST API Development
Data Processing Pipelines
SQL Performance Tuning
PostgreSQL Schema Design
Cloud Deployment (AWS)
Command Line Proficiency
Version Control with Git
Automated Testing
Docker and Terraform
CI/CD Practices
Strong Communication Skills
Independent Learning
Experience with Financial Data
Knowledge of Machine Learning Models
Familiarity with Transformer LLMs

Some tips for your application 🫡

Understand the Role: Take time to thoroughly read the job description for the Quantitative Developer position. Understand the responsibilities and requirements, especially the technical skills like Python, SQL, and experience with financial data.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in Python, cloud deployments, and any experience with financial data or machine learning models.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your ability to tackle open-ended problems. Mention specific projects or experiences that demonstrate your skills and how they relate to the role.

Showcase Communication Skills: Since strong communication is key for this role, ensure your application reflects your ability to convey complex ideas clearly. Use examples from past experiences where you successfully communicated with both technical and non-technical audiences.

How to prepare for a job interview at Intropic

✨Showcase Your Problem-Solving Skills

As a Quantitative Developer, you'll be tackling open-ended problems. Be prepared to discuss specific examples of how you've approached complex challenges in the past, particularly in Python or SQL. Highlight your thought process and the impact of your solutions.

✨Demonstrate Technical Proficiency

Make sure you can confidently discuss your experience with the technologies mentioned in the job description, such as asyncio, FastAPI, and PostgreSQL. Consider preparing a small project or code snippet that showcases your skills, as practical demonstrations can leave a lasting impression.

✨Communicate Effectively

Strong communication is key, especially when working with both technical and non-technical audiences. Practice explaining complex concepts in simple terms, and be ready to discuss how you've successfully collaborated with diverse teams in previous roles.

✨Express Your Passion for Fin-Tech

This role is within a dynamic start-up environment focused on finance and capital markets. Show your enthusiasm for the industry by discussing recent trends or innovations in fin-tech that excite you. This will demonstrate your genuine interest in the company's mission and goals.

Quantitative Developer
Intropic
Location: London

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