TL;DR

Quantitative Engineer (AI): Implementing AI for multiple use cases in investment banking, from LLM chat to knowledge graphs, with an accent on solving revenue-generating and productivity issues in Global Markets Distribution. Focus on utilizing the latest statistical, causal, ML, and AI models and leading a small team of quants.

Location: Must be based in Hong Kong SAR

Company

%hirify_global% is a leading and truly global wealth manager and universal bank, providing diversified asset management solutions and focused investment banking capabilities.

What you will do

Implement AI solutions for sales functions, including LLM chat and knowledge graphs.
Innovate and solve revenue-generating and productivity issues in Global Markets Distribution.
Utilize statistical, causal, ML, and AI models to achieve results.
Remain hands-on in delivering projects on modern Azure, big-data based infrastructure using Python and/or Java.
Collaborate with product experts to drive meaningful impact for stakeholders and clients.
Lead a small team of quants in Hong Kong and represent the team in the region.

Requirements

Degree in computer science, data science, or equivalent technical field with financial computing relevance.
Minimum 5 years of experience in a related role.
Proven track record of leading projects and/or teams, with strong command of architecture, cost, and scalability.
Expert coding experience with hands-on development in Python and/or Java.
Cloud experience with Azure, managing an estate built on Kubernetes, Data Lake, Airflow, Spark, Kafka, and Protobuf.
Ability to identify and effectively address key issues and communicate solutions to stakeholders.
English: B2 required

Nice to have

Big data engineering experience.
Analytics experience, including agentic ML, recommendation models, client analytics, statistics, classical ML, and interest in latest AI research.
Experience in a Markets business (e.g., Equities or Credit trading/distribution).

Culture & Benefits

Casual and collaborative team atmosphere within a well-established bank.
Adherence to regular working hours while consistently achieving exceptional results through innovative approaches.
Inclusive culture that values diverse skills, experiences, and backgrounds.
Opportunities to grow and flexible working options where possible.
Commitment to disability inclusion and reasonable accommodation/adjustments throughout the recruitment process.