Derivatives Analytics & AI Solutions Engineer

Location: New York

Derivatives Analytics & AI Solutions Engineer Overview We  are seeking a technically sophisticated Derivatives Analytics & AI Solutions Engineer to support the design, structuring, and delivery of complex hedging and financing solutions across corporate, sponsor, and institutional clients.

This role sits at the intersection of financial engineering, data platforms, and AI-driven workflow automation, with a focus on enhancing the team’s ability to analyze risk, price transactions, and deliver scalable derivatives solutions.

The ideal candidate combines strong analytics with communication capabilities with the expectation to operate in a fast-paced, front-office environment supporting OTC derivatives, structured transactions, and client-facing solutions.

Key Responsibilities:

Derivatives Analytics & Structuring Support Build analytical tools to support pricing, structuring, and risk analysis of derivatives transactions (e.g., interest rate, FX, and structured financing products)
Develop models and workflows to evaluate client financials,hedging strategies, deal-contingent risk, and financing structures

Support transaction lifecycle analytics, including scenario modeling, sensitivities, and performance tracking

Interface with front-office teams and clients executing OTC derivatives and hedging transactions linked to financing and capital markets activities AI & Workflow Automation (Front Office Enablement)
Design and implement AI agentic workflows to streamline:

Trade analysis and structuring workflows

Client pitch and scenario generation

Research, market monitoring, and idea generation

Build internal knowledge tools to:

Enhance access to prior trades, structures, and market insights

Accelerate decision-making in live deal environments

Integrate AI tools with internal systems, databases, and APIs to enable real-time analytics and execution support

Product & Platform Innovation Contribute to development of proprietary platforms supporting:

Structured hedging solutions (e.g., deal-contingent hedging, financing overlays)
Portfolio hedging and risk transfer strategies

Client reporting and analytics

Translate front-office needs into scalable SaaS-style tools used across sales, trading, and banking teams

Required Qualifications:

Bachelor’s degree in Engineering, Computer Science, Finance, Mathematics, or related quantitative field3-5 years of experience in:

Financial analytics, data engineering, or structured productsOR a combination of software engineering and capital markets experience

General knowledge of interest rate and currency derivatives related hedging strategy

Familiarity with hedge accounting preferable

Strong programming skills in:

Required:

Python (numpy, pandas, scipy, sk-learn, langchain/langgraph) JavaScript, Type Script, SQL (preferred)
Experience building:

Data pipelines and analytics platforms

Financial or risk models

The expected base salary ranges from $120,000- $180,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.#LI-Onsite Other requirements

Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.
Company Overview Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2…