Vertus Partners
Python Developer - Cross-Asset Front Office RAD Team We are currently recruiting a Python Developer to join the Cross-Asset trading RAD team for one of our leading financial clients. In this role, you'll work directly with traders, sales, and quantitative analysts to design and deliver high impact tools and applications supporting multiple asset classes (FX, Equities, Swaps). This is a fast paced, hands-on position focused on building rapid, practical solutions that enhance trading and risk management activities. You'll be involved in developing Real Time dashboards, pricing and trading tools, leveraging Python and modern development practices to drive performance and efficiency. Key Responsibilities Partner closely with trading and sales teams to capture requirements and deliver rapid, fit for purpose solutions. Design, develop, and maintain Python based RAD tools for trade capture, risk management, and analytics. Integrate with pricing engines, market data feeds, and trade booking systems across multiple asset classes (FX, Rates, Credit, Equities). Develop user interfaces and dashboards to visualise market and risk data effectively. Ensure all solutions are robust, scalable, and compliant with IT and regulatory standards. Skills & Experience Strong proficiency in Python, with a focus on rapid prototyping and data driven applications. Solid understanding of multi-processing and AsyncIO. Experience with pandas, NumPy, and SQL for data analysis and transformation. Exposure to REST APIs, messaging systems, and integration with trading or risk platforms. Hands-on experience building Front End tools or GUIs. Proven ability to work directly with Front Office stakeholders. Strong problem-solving skills and ability to deliver under tight deadlines. Familiarity with financial products such as FX, Rates, Credit, or Equities. Understanding of P&L, risk metrics, and the trade life cycle. Experience with Excel integration (VBA, xlwings, COM). Previous experience within a banking, hedge fund, or trading environment. If your experience is relevant to this role and you have worked in a RAD technology trading team before then please submit your CV to be considered for the role.
Python Developer - Cross-Asset Front Office RAD Team We are currently recruiting a Python Developer to join the Cross-Asset trading RAD team for one of our leading financial clients. In this role, you'll work directly with traders, sales, and quantitative analysts to design and deliver high impact tools and applications supporting multiple asset classes (FX, Equities, Swaps). This is a fast paced, hands-on position focused on building rapid, practical solutions that enhance trading and risk management activities. You'll be involved in developing Real Time dashboards, pricing and trading tools, leveraging Python and modern development practices to drive performance and efficiency. Key Responsibilities Partner closely with trading and sales teams to capture requirements and deliver rapid, fit for purpose solutions. Design, develop, and maintain Python based RAD tools for trade capture, risk management, and analytics. Integrate with pricing engines, market data feeds, and trade booking systems across multiple asset classes (FX, Rates, Credit, Equities). Develop user interfaces and dashboards to visualise market and risk data effectively. Ensure all solutions are robust, scalable, and compliant with IT and regulatory standards. Skills & Experience Strong proficiency in Python, with a focus on rapid prototyping and data driven applications. Solid understanding of multi-processing and AsyncIO. Experience with pandas, NumPy, and SQL for data analysis and transformation. Exposure to REST APIs, messaging systems, and integration with trading or risk platforms. Hands-on experience building Front End tools or GUIs. Proven ability to work directly with Front Office stakeholders. Strong problem-solving skills and ability to deliver under tight deadlines. Familiarity with financial products such as FX, Rates, Credit, or Equities. Understanding of P&L, risk metrics, and the trade life cycle. Experience with Excel integration (VBA, xlwings, COM). Previous experience within a banking, hedge fund, or trading environment. If your experience is relevant to this role and you have worked in a RAD technology trading team before then please submit your CV to be considered for the role.
BLOOMBERG
Who are we? Bloomberg has tens of millions of time series our clients can use to generate ideas and make trading decisions. Some of these time series represent prices, whereas others represent fundamental data, such as the inventory of warehouses around the world. We have developed a system that organises time series and datasets across the Commodities, Foreign Exchange/Currencies, Economics, ESG and Bloomberg Intelligence spaces. Our system enables downstream applications to empower Bloomberg's customers to hedge their inherent business risks, brokers to facilitate deals between their clients and speculators identify opportunities. Technology We develop primarily in Python 3 and Javascript, and maintain some assets in C++. We use Postgres for our primary database, RabbitMQ for work distribution and Solr & Redis for specialist use cases. We started to use RDF for inter-system communication. We've designed a variety of GraphQL services, where we can solve multiple query problems with a single implementation. We drive our SDLC processes from our GitHub Enterprise instance and use Jenkins for CI. We deploy to a mix of containerised and Linux VM-based environments. What's in it for you? We place a lot of value on a good developer experience and developing the right solution. Every week, we encourage people to spend half a day on engineer-led learning and innovation. As part of this process, the team has open sourced 2 Python libraries and introduced GraphQL to our stack. We have been an agile team since 2015; we started with Scrum, but have now adopted predominantly Kanban practices. We regularly reflect on our process, practices and tools together as a team in order to evolve our way of working. We work closely with our product owner and delivery manager, and encourage everyone on the team to contribute to the roadmap and develop a breadth of knowledge across our assets. We'll trust you to: Implement stable solutions using the best technology for the job, whether that is well-established in the system or introduced from outside of Bloomberg, in order to deliver solutions that minimize maintenance cost and improve our reliability and performance Contribute to the work of the engineering team, including mentoring junior members, pair programming and peer reviewing Contribute to the work of the wider group, including collaborating with product owners and data administration teams, to understand and develop solutions to their problems Participate actively in our agile process You'll need to have: Experience with one or more of the following: Python, JavaScript, C or C++ An aptitude for problem solving, and a desire to build software solutions to complex business problems A team player attitude and collaborative approach to development Commitment to building quality software through tests We'd love to see: Familiarity with Postgres, Solr, Redis and/or GraphQL Experience with RDF, or similar knowledge base technologies Interest in learning about the financial markets If this sounds like you, please apply! Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. And do check out our blog, TechAtBloomberg.com/ to learn more. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
Who are we? Bloomberg has tens of millions of time series our clients can use to generate ideas and make trading decisions. Some of these time series represent prices, whereas others represent fundamental data, such as the inventory of warehouses around the world. We have developed a system that organises time series and datasets across the Commodities, Foreign Exchange/Currencies, Economics, ESG and Bloomberg Intelligence spaces. Our system enables downstream applications to empower Bloomberg's customers to hedge their inherent business risks, brokers to facilitate deals between their clients and speculators identify opportunities. Technology We develop primarily in Python 3 and Javascript, and maintain some assets in C++. We use Postgres for our primary database, RabbitMQ for work distribution and Solr & Redis for specialist use cases. We started to use RDF for inter-system communication. We've designed a variety of GraphQL services, where we can solve multiple query problems with a single implementation. We drive our SDLC processes from our GitHub Enterprise instance and use Jenkins for CI. We deploy to a mix of containerised and Linux VM-based environments. What's in it for you? We place a lot of value on a good developer experience and developing the right solution. Every week, we encourage people to spend half a day on engineer-led learning and innovation. As part of this process, the team has open sourced 2 Python libraries and introduced GraphQL to our stack. We have been an agile team since 2015; we started with Scrum, but have now adopted predominantly Kanban practices. We regularly reflect on our process, practices and tools together as a team in order to evolve our way of working. We work closely with our product owner and delivery manager, and encourage everyone on the team to contribute to the roadmap and develop a breadth of knowledge across our assets. We'll trust you to: Implement stable solutions using the best technology for the job, whether that is well-established in the system or introduced from outside of Bloomberg, in order to deliver solutions that minimize maintenance cost and improve our reliability and performance Contribute to the work of the engineering team, including mentoring junior members, pair programming and peer reviewing Contribute to the work of the wider group, including collaborating with product owners and data administration teams, to understand and develop solutions to their problems Participate actively in our agile process You'll need to have: Experience with one or more of the following: Python, JavaScript, C or C++ An aptitude for problem solving, and a desire to build software solutions to complex business problems A team player attitude and collaborative approach to development Commitment to building quality software through tests We'd love to see: Familiarity with Postgres, Solr, Redis and/or GraphQL Experience with RDF, or similar knowledge base technologies Interest in learning about the financial markets If this sounds like you, please apply! Interview process: We believe interviewing is a two way street. It's a way for us to get to know you and your skills, and also a way for you to learn more about the team, our technical challenges, and what you'd be working on. The content of each interview round will be tailored to the role and your background, but the general framework can be found here: We want to ensure you can put your best foot forward throughout the process, so if you have any questions or need any accommodations to be successful, please let us know. And do check out our blog, TechAtBloomberg.com/ to learn more. Bloomberg is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We have a lot of opportunities to choose from in Engineering, and it is important to us that your skills and experience align best with the team you are interviewing with. To help ensure you are placed on the right team, your application will be considered for all of our current vacancies in Engineering at the first stage of the interview process.
