VP Quant Developer - Tier 1 Investment Bank
Role Overview: We are seeking a Senior Quant Developer to participate in the creation of a cutting-edge cross-asset analytics platform for front office sales. This hands-on role involves close collaboration with senior stakeholders and users to define requirements and implement both back-end and UI components, ensuring alignment with strategic initiatives.
Key Responsibilities:
- Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
- Collaboration with Strats, quants and trading to design and implement engineering solutions to complex business problems using domain expertise.
- Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
- Working closely with sales teams to identify clients' needs and develop customised solutions.
- Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
- Design, build and maintain common components, libraries and services for use in application development on the platform.
- Evangelise best practices, development standards, documentation and automated testing. Work with platform users to ensure adoption.
- Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
- Ensure all development activities are undertaken within the defined control environment
Stakeholder Management:
- Work closely with sales businesses across Markets, the technology department, and senior leadership in sales and trading.
- Clearly articulate complex technical issues and requirements to all stakeholders.
Qualifications:
- PhD or Master's in Quantitative Finance, Applied Mathematics, Operations Research, Statistics, Computer Science, or a related field.
- Minimum 5 years of experience in a front office development role at a major investment bank.
Essential Skills:
- Experience of designing, building and supporting user facing analytics functionality in a front office sales environment.
- Experience of system and API design.
- Excellent written and verbal communication in English.
- Experience of commercial software development in a shared codebase with multiple developers.
- Hands on programming in Python
- Familiarity with modern UI frameworks * Experience of liaising directly with front office users in sales or trading
- Experience with data science and visualization
Preferred Skills:
- Experience in developing models and tools for pricing, analysis, and risk management.
- Market/product knowledge in one or more asset classes.
FAQs
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