Verified Job
IT / Software / Data Analyst
Software Developer Post-Trade Automation
IT / Software / Data Analyst
#506866
Remote / WFH
Job Description
A prestigious Investment Management client, with a leading scientific approach to trading and investment strategies have kicked off this quarters hiring plans through Ncounter. The systematic trading firm is seeking a Software Developer with expert Python knowledge to join the Post Trade team within the Development department, with positions available in the City of London (4-days p/w onsite).
Specialising in Post-Trade Automation, you will be at the forefront of designing and developing sophisticated pipelines for post-trade processing. This role is not just about coding; it's about taking ownership of applications that are critical to the firm's success, ensuring their optimal performance across global markets.
Imagine being part of a team that thrives on innovation, where your work supports the processing of millions of transactions daily, and your contributions directly impact the firm's efficiency and compliance. Your role will encompass a variety of functions, from transaction feeds and trade booking to end-of-day reconciliations and analytics.
Required Qualifications:
• Computer Science with 5+ years’ experience using Python within Financial Services/ Back Office environments
• Demonstrable experience processing large datasets (PostgreSQL and data frame)
• Exposure to trade booking/FIX protocol
• Ability to create scalable, geographically distributed and high availability architectures
• Background creating reporting and reconciliation applications
• Undertsanding of OTC products with CDS, Interest Rate Swaps, Variance Swaps etc. needed
• Expertise with C++, Spark, Kafka would be hugely beneficial
The key skillset is Python, but your expertise should extend to managing large datasets with PostgreSQL, and you should be well-versed in trade booking using the FIX protocol. A deep understanding of trading, booking, and position keeping is essential, along with experience in scalable and high-availability architectures will be advantageous.
You will be capable of producing robust software components and thriving as an independent contributor within a dynamic team. Additional knowledge of OTC products, C++, and Big Data tools will distinguish you in this role
Specialising in Post-Trade Automation, you will be at the forefront of designing and developing sophisticated pipelines for post-trade processing. This role is not just about coding; it's about taking ownership of applications that are critical to the firm's success, ensuring their optimal performance across global markets.
Imagine being part of a team that thrives on innovation, where your work supports the processing of millions of transactions daily, and your contributions directly impact the firm's efficiency and compliance. Your role will encompass a variety of functions, from transaction feeds and trade booking to end-of-day reconciliations and analytics.
Required Qualifications:
• Computer Science with 5+ years’ experience using Python within Financial Services/ Back Office environments
• Demonstrable experience processing large datasets (PostgreSQL and data frame)
• Exposure to trade booking/FIX protocol
• Ability to create scalable, geographically distributed and high availability architectures
• Background creating reporting and reconciliation applications
• Undertsanding of OTC products with CDS, Interest Rate Swaps, Variance Swaps etc. needed
• Expertise with C++, Spark, Kafka would be hugely beneficial
The key skillset is Python, but your expertise should extend to managing large datasets with PostgreSQL, and you should be well-versed in trade booking using the FIX protocol. A deep understanding of trading, booking, and position keeping is essential, along with experience in scalable and high-availability architectures will be advantageous.
You will be capable of producing robust software components and thriving as an independent contributor within a dynamic team. Additional knowledge of OTC products, C++, and Big Data tools will distinguish you in this role
