Job Location : London, UK
WHO WE ARE
Quanteam Group is a Consulting firm specialised in the Capital Markets industry, in Paris, London, Brussels, New York and North Africa.
Since 2007, our 800+ consultants provide major clients (Corporate & Investment Banks, Asset Managers, Hedge Funds, Brokers and Insurance Companies) with expertise in several projects such as Financial Engineering, Quantitative Research, Regulatory Implementation, IT Transformation & Innovation.
The firm mainly takes part in:
Business consulting: Quantitative research, Risk management (e.g. Market risk, credit risk, counterparty risk), Banking regulations (e.g. Basel III, Solvency II, FATCA, EMIR, MiFID), Pricing & Valuation, Organisational Transformation & Process Improvement.IT & Information systems consulting: Business Analysis, Project Management, Change management, Front Office Support (functional and technical), Development (e.g C++, Python, C#, Java, VBA), Financial Softwares (e.g. Sophis, Murex, Summit, Calypso), IT Transformation & Innovation.
As part of Quanteam Group, Quanteam UK (incorporated in 2010) has today more than 100 consultants, working for major Capital Markets institutions in London.
CLIENT
We are a dynamic financial services organization looking for a skilled Software Developer with a focus on Front Office or Risk systems. This role is key to supporting the design and establishment of pipelines for a critical Python library within our technology stack.
Key Responsibilities:
Design, develop, and optimize complex pipelines using Apache Beam for a critical Python library.Integrate Python and C++ libraries into existing systems to support advanced risk measures.Collaborate with Front Office and Risk teams to enhance Counterparty Credit Risk and XVA risk calculations, with a focus on Monte Carlo simulations.Maintain and optimize existing pipelines to ensure high performance and scalability within a financial services context.
Required Qualifications:
Extensive experience with Apache Beam and pipeline development.Strong proficiency in Python and experience integrating with C++.Experience working in Front Office or Risk systems, with a deep understanding of financial instruments.Proven experience with Counterparty Credit Risk and XVA calculations, including Monte Carlo simulation methods.Ability to work in a fast-paced environment, manage priorities, and collaborate across multiple teams.
Preferred Qualifications:
Familiarity with cloud-based services and distributed systems.Experience working with large-scale data processing systems.
Location:This role can be based in either London or Krakow, with a hybrid working model that includes 2 days per week on-site.
Language Requirement:Fluency in English is required.
Salary : -
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