Quant jobs / Mizuho

Derivatives Analytics & AI Solutions Engineer

Front-office engineer building pricing, structuring and AI workflow tools for corporate hedging and financing solutions. Supports bankers and clients on OTC derivatives.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build tools to price and analyse rate and FX hedges
Model deal-contingent hedging and financing structures with scenarios and sensitivities
Create AI agent workflows for pitches, trade analysis and research
Connect AI tools to internal databases and APIs

What they ask for

Required

Bachelor's in engineering, computer science, finance, maths or similar
3-5 years in financial analytics, data engineering or structured products
Knowledge of rate and FX hedging
Python (numpy, pandas, scipy, scikit-learn, langchain)
Experience building data pipelines and financial or risk models

Preferred

JavaScript, TypeScript and SQL
Hedge accounting

Education: Bachelor's in engineering, computer science, finance, maths or a related quantitative field
Experience: 3-5 years in financial analytics, data engineering, structured products or software with capital markets
Languages and tools: Python
JavaScript
TypeScript
SQL
Markets: fixed-income, fx

How to prepare

Price an interest rate swap and an FX forward in Python and compute DV01
Build a small deal-contingent hedge scenario tool
Create an LLM agent workflow that pulls data and drafts a pitch table
Study hedge accounting basics and how corporates hedge

What to study

The Rates Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Mizuho’s site before applying: requirements, location and pay can change after we check them.

View the posting on Mizuho’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Mizuho and doesn’t handle applications.