Alpha Generation Technology Financial Platform Engineer, Vice President
Role details
Job location
Tech stack
Job description
You will work with elite investment professionals to build cutting-edge, high-quality research data platform capabilities, including:
- Own the technical vision, roadmap and delivery for the Python based SDK and APIs that power investment research and alpha generation.
- Advance quant tooling as strategic capability layer enabling faster research, model development, backtesting and productionisation.
- Partner with researchers, model engineers, product managers and platform teams to understand pain points and translate them into scalable product capabilities
- Leverage AI-assisted development tools effectively, combining increased development velocity with full ownership of solution design, correctness, testing, and performance
- Provide technical leadership and mentorship to junior engineers, contributing to long-term architecture, product strategy and engineering standards.
- Drive engineering excellence through AI-augmented development practices, strengthening code quality, design standards, developer productivity, and platform reliability through disciplined review and validation
- Evaluate, select, and implement new tools and frameworks to expand our platform capabilities.
- Foster a culture of product thinking, user empathy, engineering excellence, and close partnership with investment teams.
Requirements
We value post-graduate degree holders, but we also welcome individuals with equivalent commercial experience. If you bring a strong mix of the skills below, we would love to hear from you.
Core engineering
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6+ years of experience building platforms, SDKs, APIs, or quant research tooling.
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Strong Python skills with experience building APIs, reusable libraries and scalable workflows
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Experience designing and operating cloud-native platforms, distributed systems, or modern analytics platforms.
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Strong architecture judgement: able to simplify complex systems into usable product interfaces.
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Strong understanding of modern data storage formats and architectures (e.g., Iceberg, Delta Lake) and cloud storage systems (e.g., Azure Blob or equivalent)
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Experience with distributed processing frameworks such as Spark, Ray or Dask.
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Deep understanding of cloud-native development practices (Azure preferred)
AI-enabled engineering mindset
- Ability to frame problems clearly before implementation
- Experience with or exposure to LLM/GenAI-enabled workflows, developer tools or analytics systems.
- Strong judgment when using AI tools, including the ability to validate, adapt, and productionize generated outputs
- Comfort operating in an environment where engineering impact is measured by outcomes, quality, and leverage, not volume of code written
Leadership & Domain alignment
- Strong interpersonal skills and the ability to partner effectively with platform teams, quantitative researchers and investment stakeholders.
- Demonstrated ability to influence engineering standards and drive best practices
- Ability to mentor junior engineers, raise the technical bar, and create clarity in ambiguous problem spaces.
- Strong interest in financial markets, systematic investing, or quantitative research
Benefits & conditions
- Aladdin, the investment platform used to manage more than $15 trillion of global assets.
- How to scale quantitative research and alpha model engineering across asset classes and regions.
- Contribute to high-performing engineering teams in an AI-augmented environment, while raising standards for correctness, stability, and long-term maintainability.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.