VP Quant Developer - Tier 1 Investment Bank

JR United Kingdom; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

An established industry player is on the lookout for a Senior Quant Developer to shape a cutting-edge analytics platform. This role offers the chance to collaborate with senior stakeholders and tackle complex business challenges through innovative engineering solutions. You will develop quantitative models, optimize trading strategies, and ensure alignment with strategic initiatives. Ideal candidates will have a strong background in quantitative finance and hands-on programming experience, particularly in Python. Join a dynamic team where your expertise will drive innovation in the trading environment.

Qualifications

• 5+ years in front office development at a major investment bank.
• Experience with user-facing analytics in a sales environment.

Responsibilities

• Develop quantitative models for market trends and trading decisions.
• Collaborate with technology and sales teams for customized solutions.

Skills

Python

Quantitative Finance

Applied Mathematics

Statistics

API Design

Data Science

Visualization

Education

PhD in Quantitative Finance

Master's in Applied Mathematics

Job description

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VP Quant Developer - Tier 1 Investment Bank, london (city of london)

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Client:

Selby Jennings

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

8

Posted:

24.04.2025

Expiry Date:

08.06.2025

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Job Description:

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.
• Experience of designing, building and supporting user facing analytics functionality in a front office sales environment.
• Experience of system and API design.
• 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.