Quantitative Developer (AI)

Quantitative Developer (AI)

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

  • Tasks: Develop AI-driven financial analysis tools for trading desks using Python.
  • Company: Join BlueCrest, a leading firm in financial technology and innovation.
  • Benefits: Enjoy a flexible work environment with opportunities for growth and learning.
  • Why this job: Be at the forefront of AI in finance, solving real-world challenges daily.
  • Qualifications: Strong Python skills, experience with LLMs, and a background in mathematics or computational fields.
  • Other info: Work closely with senior traders and enhance cutting-edge AI tools.

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

Location: London

Department: Front Office Technology

Department Overview: The Desk Strat technology team are responsible for building and maintaining trading tools both bespoke to pods and general to a desk. They predominantly develop tools in Python leveraging core analytic and database frameworks and face off to business partners directly. The team sits within the Front office technology group which also contains Quant Research and the Risk and Data Technology teams.

Role Overview: The primary focus of this role is to face off to the rates and commodity trading desks to build out a financial analysis toolkit that leverages AI. This toolkit will be used by traders and desk analysts alike to develop trading strategies and manage risk. Many of these tools will be quite tactical at first and will require the candidate to have real world experience leveraging cloud based LLM API offerings and integrated database solutions. The successful candidate will be expected to help drive the firms AI strategy and produce scalable template solutions that others can follow, allowing other quantitative developers to leverage LLMs in a consistent cost-effective way. The role will ultimately face off to the lead rates analyst, who has developed many of the existing AI research tools used by the desk. These tools need enhancing and generalizing, plus dedicated focus to improve and develop new solutions as the ever-changing world of AI offerings matures. The candidate will be expected to deliver working tools according to the desks requirements quickly and efficiently often turning around solutions in hours, working extremely closely with desk in response to the fast-changing financial market conditions. This position will be extremely pivotal to the company, working closely with cyber security and infrastructure to onboard new AI providers and provision new services. As well as stay abreast of all of the latest development methods to drive the firms AI strategy forward practically.

Experience Required:

  • Python
  • LLM integration (such as open AI)
  • Development orchestration tooling (svn/git/automated deployment)
  • Database development Sql / NoSql (MSSql / Mongo)
  • Prior experience programming with practical AI / LLM api usage
  • A strong mathematical / computational degree or PhD ideally with some exposure to ML techniques
  • C# (or other oo based language)
  • Financial engineering
  • Command line scripting (Windows/Linux)

About you: In this role you must be self-motivated and able to face off to senior business users on the trading desks. You must be articulate and able to gather requirements, design elegant but pragmatic solutions and implement them through to release. This is a highly technical role, and you will be driven by solving technical challenges finding practical solutions to problems and seeing your work released into production. With the fast-changing AI environment it is important that the firm’s strategy is flexible and you will help drive that by having an interest in and staying abreast of all the latest enhancements and tooling available in the market.

BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.

Quantitative Developer (AI) employer: BlueCrest Capital Management

At BlueCrest, we pride ourselves on being an exceptional employer, particularly for the role of Quantitative Developer (AI) in our dynamic London office. Our inclusive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth and development while working on cutting-edge AI solutions that directly impact trading strategies. With a commitment to flexibility and a fast-paced environment, we empower our team members to tackle technical challenges and contribute meaningfully to our evolving AI strategy.
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Contact Detail:

BlueCrest Capital Management Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer (AI)

✨Tip Number 1

Familiarise yourself with the latest AI tools and technologies, especially those related to LLM integration. Being able to discuss recent advancements and how they can be applied in a trading context will show your enthusiasm and expertise during interviews.

✨Tip Number 2

Network with professionals in the finance and technology sectors, particularly those working in quantitative development or AI. Attend relevant meetups or webinars to make connections and gain insights that could give you an edge in your application.

✨Tip Number 3

Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific projects where you've successfully implemented AI solutions or developed trading tools, as this will highlight your hands-on experience.

✨Tip Number 4

Stay updated on financial market trends and how they impact trading strategies. Showing that you understand the fast-paced nature of the industry and can adapt your technical skills accordingly will impress potential employers.

We think you need these skills to ace Quantitative Developer (AI)

Proficiency in Python
Experience with LLM integration (e.g., OpenAI)
Familiarity with development orchestration tools (SVN, Git, automated deployment)
Database development skills (SQL/NoSQL, MSSQL, MongoDB)
Practical experience with AI/LLM API usage
Strong mathematical or computational background (degree or PhD)
Exposure to machine learning techniques
Knowledge of C# or other object-oriented programming languages
Financial engineering expertise
Command line scripting skills (Windows/Linux)
Ability to gather requirements and design solutions
Strong problem-solving skills
Excellent communication skills
Self-motivated and able to work under pressure
Adaptability to fast-changing environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in Python, LLM integration, and database development. Emphasise any projects where you've built trading tools or worked with AI technologies.

Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about AI in finance. Mention specific examples of how you've used AI to solve problems or improve processes in previous roles.

Showcase Technical Skills: Clearly outline your technical skills related to the job description, such as your experience with cloud-based LLM APIs, development orchestration tools, and financial engineering. Use bullet points for clarity.

Prepare for Technical Questions: Be ready to discuss your technical expertise in detail during interviews. Prepare examples of past projects that demonstrate your problem-solving abilities and your understanding of AI applications in trading.

How to prepare for a job interview at BlueCrest Capital Management

✨Showcase Your Python Skills

Since the role heavily relies on Python, be prepared to discuss your experience with it. Bring examples of projects where you've used Python for financial analysis or AI integration, and be ready to solve coding challenges on the spot.

✨Demonstrate Your Understanding of AI and LLMs

Familiarise yourself with the latest AI tools and LLM APIs, especially those relevant to financial markets. Be ready to discuss how you've applied these technologies in previous roles and how they can enhance trading strategies.

✨Prepare for Technical Problem-Solving

Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as you'll need to articulate solutions to complex challenges during the interview.

✨Engage with Business Users

This role requires you to interact with senior business users. Prepare to demonstrate your communication skills and ability to gather requirements effectively. Think of examples where you've successfully collaborated with non-technical stakeholders.

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