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- Tasks: Join a team to develop a Fixed Income attribution application using Python and other technologies.
- Company: Work with a leading asset management firm in the heart of London.
- Benefits: Enjoy a collaborative environment with opportunities for growth and learning in finance tech.
- Why this job: Be part of an innovative team impacting financial services with cutting-edge technology.
- Qualifications: Strong Python skills and experience in Fixed Income are essential; front-end skills are a plus.
- Other info: Experience with AWS or GCP and data tools is desirable but not mandatory.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Python Developer (Software Engineer Programmer Developer Python Fixed Income JavaScript Node Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services) required by our asset management client in London.
You MUST have the following:
- Strong experience as a Python Developer/Software Engineer/Programmer
- Excellent Python
- Experience working in Front Office financial trading (eg. Fixed Income, equities, FX or commodities)
- Some Front End ability (Vue, React or Angular good but not necessary)
- Agile
The following is DESIRABLE, not essential:
- AWS or GCP
- Buy-side
- Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio
- Fixed Income performance, risk or attribution
- TypeScript and Node
Role: Python Developer (Software Engineer Programmer Developer Python Fixed Income JavaScript Node Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. It will allow portfolio managers to communicate trade orders to investment analysts in a way that can be tracked and aligned with investment strategies and risk management. The role will have a Back End emphasis, which will be Python, AWS and PostgreSQL but you will also have some ability to contribute towards the React Front End.
The project is at inception and the first demo has been approved by the business. It now has to be built out. There will be an excellent opportunity here to improve your knowledge of Fixed Income products and trading.
They have a hybrid-working set up that requires the team to be in the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio
This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are 9-5.
Salary: £115k – £145k + 10% Bonus + 10% Pension
Python Developer Software Engineer AWS Finance Trading London employer: Joseph Harry Ltd
Contact Detail:
Joseph Harry Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Software Engineer AWS Finance Trading London
✨Tip Number 1
Make sure to showcase your experience with Python and Fixed Income in your conversations. Be ready to discuss specific projects where you've applied these skills, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
Familiarize yourself with Agile methodologies if you haven't already. Being able to speak about your experience working in Agile teams can set you apart, as it’s a key aspect of the work environment here.
✨Tip Number 3
If you have any experience with front-end technologies like Vue, React, or Angular, be sure to mention it. Even if it's not a primary requirement, showing versatility can make you a more attractive candidate.
✨Tip Number 4
Brush up on AWS or GCP tools, especially those related to data processing like Glue or Athena. Even though they are desirable, having knowledge in these areas can give you an edge over other candidates.
We think you need these skills to ace Python Developer Software Engineer AWS Finance Trading London
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience as a Python Developer, especially in Fixed Income. Detail any projects or roles where you worked with rates, credit, bonds, or ABS.
Showcase Front End Skills: If you have experience with front-end technologies like Vue, React, or Angular, mention it! Even if it's not essential, it can set you apart from other candidates.
Demonstrate Agile Methodology: Since Agile experience is required, provide examples of how you've worked in Agile environments. Mention specific methodologies or frameworks you've used.
Tailor Your Application: Customize your CV and cover letter to reflect the job description closely. Use keywords from the job listing, such as AWS, GCP, and performance attribution, to align your application with what the company is looking for.
How to prepare for a job interview at Joseph Harry Ltd
✨Showcase Your Python Expertise
Make sure to highlight your strong experience with Python during the interview. Be prepared to discuss specific projects where you've utilized Python, especially in Fixed Income contexts like rates, credit, and bonds.
✨Demonstrate Front-End Knowledge
Even though front-end skills are not essential, having some knowledge of frameworks like Vue, React, or Angular can set you apart. Be ready to talk about any relevant experience you have with these technologies.
✨Familiarize Yourself with Agile Methodologies
Since the role requires working in an Agile environment, be prepared to discuss your experience with Agile practices. Share examples of how you've contributed to Agile teams and adapted to changing requirements.
✨Understand Financial Services Context
Having a grasp of financial services, particularly in asset management and trading, will be beneficial. Brush up on key concepts related to Fixed Income performance, risk, and attribution to demonstrate your industry knowledge.
