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- 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 computer science.
- Other info: Work closely with senior traders and enhance cutting-edge AI tools.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Quantitative Developer (AI)
Location: London
Department: Front Office Technology
Permanent
Department Overview:
The Desk Strat technology team are responsible for building and maintain 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 or 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 be 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.
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Quantitative Developer (AI) (London) employer: BlueCrest Capital Management
Contact Detail:
BlueCrest Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer (AI) (London)
✨Tip Number 1
Familiarise yourself with the latest AI tools and cloud-based LLM APIs. Being able to discuss specific examples of how you've used these technologies in your previous work will show that you're not just knowledgeable but also practical in applying them.
✨Tip Number 2
Network with professionals in the finance and technology sectors, especially those involved in quantitative development. Engaging in conversations about current trends and challenges can provide insights that you can bring up during interviews, demonstrating your genuine interest in the field.
✨Tip Number 3
Prepare to discuss your experience with database development, particularly with SQL and NoSQL solutions. Be ready to explain how you've implemented these in past projects, as this role requires a strong understanding of data management.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of technical challenges you've faced and how you overcame them. This will highlight your ability to deliver effective solutions quickly, which is crucial for the fast-paced environment of trading desks.
We think you need these skills to ace Quantitative Developer (AI) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Python, AI, and database development. Emphasise any projects where you've integrated LLMs or worked with financial analysis tools.
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 solved technical challenges and contributed to projects that align with the role's requirements.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as Python programming, LLM integration, and database development. Provide examples of how you've used these skills in previous roles.
Demonstrate Problem-Solving Ability: Include examples in your application that demonstrate your ability to face off against senior business users and gather requirements. Highlight instances where you designed and implemented solutions under tight deadlines.
How to prepare for a job interview at BlueCrest Capital Management
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python for financial analysis or AI integration, as this is crucial for the role.
✨Demonstrate Your Understanding of AI and LLMs
Since the role involves leveraging AI and LLMs, be ready to explain how you've previously integrated these technologies into your work. Discuss any relevant experience with cloud-based LLM API offerings and how they can enhance trading strategies.
✨Prepare for Technical Challenges
Expect technical questions that assess your problem-solving skills. Brush up on your knowledge of database development (SQL/NoSQL) and development orchestration tools like Git, as these will likely come up during the interview.
✨Communicate Effectively with Business Users
Since you'll be facing off against senior business users, practice articulating complex technical concepts in a clear and concise manner. Show that you can gather requirements and design solutions that meet the needs of the trading desks.
