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- Tasks: Join our team to develop and enhance Python code for market risk models.
- Company: Work with a leading banking client known for innovation and excellence.
- Benefits: Enjoy a rolling contract with competitive pay and opportunities for growth.
- Why this job: Tackle exciting IT challenges while making a real impact in the banking sector.
- Qualifications: Experience in Python development, particularly with Blackrock and data processing libraries.
- Other info: This role is inside IR35, ideal for those looking for flexible contract work.
The predicted salary is between 48000 - 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
Quantitative Python Developer employer: Lorien
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 and SciPy. 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 Python developer community, especially those focused on quantitative finance. Networking can lead to valuable insights and connections that may help you stand out when applying for this role.
✨Tip Number 3
Prepare to discuss your previous experiences with risk models and any challenges you've faced in similar projects. Being able to articulate your problem-solving skills will be crucial in interviews.
✨Tip Number 4
Stay updated on the latest trends in quantitative finance and Python development. Showing that you're proactive about learning can impress potential employers and set you apart from other candidates.
We think you need these skills to ace Quantitative Python Developer
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific responsibilities of a Quantitative Python Developer. Highlight your experience with Python, particularly in relation to market and credit risk models, as well as any relevant projects you've worked on.
Tailor Your CV: Make sure your CV reflects the skills mentioned in the job description. Emphasise your experience with libraries like numpy, scipy, pyarrow, and pandas, and detail any relevant work with databases such as sqlalchemy and psycopg.
Craft a Compelling Cover Letter: In your cover letter, explain why you're a great fit for this role. Discuss your familiarity with Blackrock and your ability to tackle IT challenges, as well as your experience in building standard code libraries.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, and that your documents are clear and professional. A polished application can make a significant difference.
How to prepare for a job interview at Lorien
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python, especially with libraries like numpy and pandas. Be prepared to discuss specific projects where you've used these tools to solve complex problems.
✨Understand the Banking Sector
Familiarise yourself with the banking industry's challenges, particularly in market and credit risk. Demonstrating knowledge of how quantitative analysis impacts decision-making in banking can set you apart.
✨Prepare for Technical Questions
Expect technical questions related to data processing and parallelisation techniques. Brush up on concepts like multiprocessing and concurrent.futures, as well as any relevant experience you have with Blackrock models.
✨Emphasise Collaboration Skills
Since the role involves interaction between teams, be ready to discuss your experience working collaboratively. Share examples of how you've successfully communicated and worked with others to achieve project goals.
