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- Tasks: Join us as a Quantitative Python Developer, tackling exciting IT challenges in banking.
- Company: Work with an industry-leading banking client known for innovation and excellence.
- Benefits: Enjoy a rolling contract with competitive pay and the chance to work on impactful projects.
- Why this job: Be part of a transformative project, building tools that shape market risk models.
- Qualifications: Proficiency in Python, especially with Blackrock, and experience in quantitative development required.
- Other info: This role involves collaboration between teams, offering a dynamic and engaging work environment.
The predicted salary is between 43200 - 72000 £ per year.
Rolling Contract - Inside IR35 - Banking
Our industry leading banking client is looking for a quantitative python developer on a rolling contract.
Role/Responsibilities:
- Python Blackrock
- Model Risk Transformation Project – System and Tooling Workstream – Building Standard Code Library for Risk
- Market Risk Models and Credit – Interaction between the two teams – Quant Developer – Market Risk than Credit Risk.
- Building from the beginning – lots of IT Challenges – Python Code
- Migrating from library, tweaking, methodology.
Skills:
- Quant Developer
- Python: Blackrock
- Numeric data processing: numpy, scipy
- Text data processing: pyarrow, pandas
- Databases: sqlalchemy, psycopg
- Parallelization: multiprocessing, concurrent.futures
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Python Developer
✨Tip Number 1
Familiarise yourself with the specific libraries mentioned in the job description, such as NumPy, SciPy, and Pandas. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during discussions.
✨Tip Number 2
Engage with the quantitative finance community online. Join forums or groups where professionals discuss market risk models and Python development. This can provide you with insights into current trends and challenges, which you can reference in conversations with us.
✨Tip Number 3
Prepare to discuss your previous projects that involved Python and quantitative analysis. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and relevant experience.
✨Tip Number 4
Network with professionals in the banking and finance sector, especially those who work with model risk transformation. Attend industry events or webinars to make connections that could lead to valuable referrals or insights about our company culture.
We think you need these skills to ace Quantitative Python Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Quantitative Python Developer. Familiarise yourself with the specific skills mentioned in the job description, such as Python, Blackrock, and data processing libraries.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your proficiency in Python, quantitative development, and any experience with market risk models or credit risk.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative development and your understanding of the banking sector. Mention specific projects or experiences that demonstrate your ability to tackle IT challenges and work with the required technologies.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail, which is crucial for a developer role.
How to prepare for a job interview at Lorien
✨Brush Up on Python Skills
Make sure you're comfortable with Python, especially the libraries mentioned in the job description like NumPy, SciPy, and Pandas. Be prepared to discuss your experience with these tools and how you've used them in past projects.
✨Understand Market Risk Concepts
Since the role involves market risk models, it's crucial to have a solid understanding of market risk concepts. Be ready to explain how you would approach building models and any relevant experience you have in this area.
✨Prepare for Technical Questions
Expect technical questions that may involve coding challenges or problem-solving scenarios. Practise coding on platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with live coding.
✨Showcase Your Problem-Solving Skills
The role involves tackling IT challenges and building from scratch. Be prepared to discuss specific examples where you've successfully solved complex problems in previous roles, particularly in a quantitative or development context.
