1

Financial Engineering Jobs in New York (NOW HIRING)

Finance Engineer

Elizabeth, NJ ยท On-site

$134 - $184/hr

This role covers the full range of FP&A responsibilities - modeling, reporting, budgeting, and ... Engineering & Systems * Treat the finance stack as something to improve, not just operate

FP&A Lead

Elizabeth, NJ ยท On-site

Osmo is seeking a Finance & Operations Engineer to sit inside the Office of the CFO and own a broad mandate: financial rigor that keeps leadership informed and makes the company fundable, operational ...

Finance Engineer

Elizabeth, NJ ยท On-site

$134 - $184/hr

This role covers the full range of FP&A responsibilities - modeling, reporting, budgeting, and ... Engineering & Systems * Treat the finance stack as something to improve, not just operate

Complex Securities Senior Consultant

Jersey City, NJ ยท On-site

$121K/yr

Bachelor's degree in Finance, Accounting, Economics, Quantitative Finance, Financial Engineering, Mathematics or Statistics * 4+ years of business valuation and intangible asset valuation consulting ...

Complex Securities Senior Consultant

Morristown, NJ ยท On-site

$119K/yr

Bachelor's degree in Finance, Accounting, Economics, Quantitative Finance, Financial Engineering, Mathematics or Statistics * 4+ years of business valuation and intangible asset valuation consulting ...

Complex Securities Senior Consultant

New York, NY ยท On-site

$127K/yr

Bachelor's degree in Finance, Accounting, Economics, Quantitative Finance, Financial Engineering, Mathematics or Statistics * 4+ years of business valuation and intangible asset valuation consulting ...

Complex Securities Senior Consultant

Jersey City, NJ ยท On-site

$121K/yr

Bachelor's degree in Finance, Accounting, Economics, Quantitative Finance, Financial Engineering, Mathematics or Statistics * 4+ years of business valuation and intangible asset valuation consulting ...

We need a developer with 3/4 years of experience. Functionally speaking, he must have a working experience on developing pricing tools for a financial trading company. It includes understanding what ...

Showing results 41-60

Financial Engineering information

See New York salary details

$83.1K

$121.2K

$148.8K

How much do financial engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for financial engineering in New York is $121,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $136,200.00 per year, depending on experience, location, and employer.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.

What are the key skills and qualifications needed to thrive as a financial engineer, and why are they important?

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.

What jobs do financial engineers get?

Financial engineers typically work as quantitative analysts, risk managers, derivatives traders, or financial modelers in banking, investment firms, hedge funds, and insurance companies. They use skills in mathematics, programming, and financial theory to develop models and strategies for trading, risk assessment, and asset management.

What are popular job titles related to Financial Engineering jobs in New York?

For Financial Engineering jobs in New York, the most frequently searched job titles are:

What job categories do people searching Financial Engineering jobs in New York look for?

The top searched job categories for Financial Engineering jobs in New York are:

What cities in New York are hiring for Financial Engineering jobs?

Cities in New York with the most Financial Engineering job openings:

Infographic showing various Financial Engineering job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, and 67% Hybrid job distribution, with an average salary of $121,232 per year, or $58.3 per hour.

Senior Innovation Consultant (Agentic AI Consulting)

London Stock Exchange Group

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

About the Role
Join LSEG's Innovation Team (Customer Consulting Group) as a Senior Innovation Consultant (Agentic AI Consulting) - a role for someone who can lead an AI ideation workshop in the morning and ship a working multi-agent prototype by end of day.
We need a rare profile: genuine financial engineering experience from a bank or trading firm, paired with hands-on Python engineering across Azure AI Foundry, Microsoft Copilot Studio, and Databricks.
At a Glance - What You'll Own
  • Lead Agentic AI Innovation - End-to-end ideation and architecture of cloud-native agentic AI solutions for global banking and financial services clients.
  • Prototype & Engineer Fast - Build POCs and demos in Python using Azure AI Foundry, Copilot Studio, and Databricks Mosaic AI - clean, documented, version-controlled code.
  • Run Client Workshops - Plan and deliver innovation workshops using design thinking, from problem framing to co-created prototype roadmap.
  • Drive Pre-Sales Growth - Contribute SOW inputs, LOE estimates, architecture decks, and live demos to support commercial pipeline across capital markets.
  • Must Have - Financial engineering background from a bank or trading firm. Hands-on Python. Certified Azure AI / Databricks. Fail-fast mindset.

What You'll Do
Solution Ideation & Architecture
โ€ข Lead client ideation sessions - define opportunity areas, shape agentic AI use cases, and translate them into reference architectures and prototype tech stacks.
โ€ข Design multi-agent orchestration patterns: agent routing, tool calling, memory management, and guardrails suited to financial services environments.
โ€ข Apply design thinking to frame user journeys and desired business outcomes from workshop to first prototype.
Rapid Prototyping & Engineering
โ€ข Build agentic AI prototypes in Python - multi-agent pipelines, RAG systems, tool-use workflows - using LangChain, LangGraph, AutoGen, or Semantic Kernel.
โ€ข Azure AI Foundry: configure model deployments, prompt flows, evaluation pipelines, and content safety filters.
โ€ข Microsoft Copilot Studio: design custom copilots, configure knowledge sources and Power Platform connectors, publish to Microsoft 365 / Teams.
โ€ข Databricks: build with Mosaic AI Agent Framework, Unity Catalog, MLflow, and Model Serving for governed, low-latency agentic workloads.
โ€ข Integrate LSEG data - RDP APIs, MCP Connectors, Real-Time Optimized feeds - into AI-driven financial workflows.
โ€ข Deliver reusable accelerators, notebooks, and demo assets. Scope is prototype-level only - not production or BAU.
Client Workshops & Delivery
โ€ข Plan, facilitate, and own end-to-end delivery of innovation workshops - from problem framing to prototype roadmap.
โ€ข Work alongside cloud engineers, architects, consultants, and project managers in a fast-paced, agile sprint rhythm.
Pre-Sales & Commercial Support
โ€ข Contribute SOW inputs, LOE estimates, and solution narratives to commercial proposals.
โ€ข Build and present live demos and prototype showcases that bring LSEG's AI capabilities to life for prospective clients.
Skills & Experience
Required (Must Have)
โ€ข 5+ years in financial engineering, quant analysis, or AI/ML engineering at a bank, trading firm, or financial market infrastructure.
โ€ข Hands-on agentic AI: LangChain, LangGraph, AutoGen, or Semantic Kernel.
โ€ข Strong Python - clean, documented, version-controlled; async patterns, API wrappers, Jupyter Notebooks.
โ€ข Azure AI Foundry: prompt flows, model deployment, evaluation, Azure OpenAI (GPT-4o, o1).
โ€ข Microsoft Copilot Studio: custom copilot build, topic authoring, connector integration, M365 deployment.
โ€ข Databricks: Mosaic AI Agent Framework, Unity Catalog, MLflow, Model Serving.
โ€ข Experience designing and delivering client-facing innovation workshops.
โ€ข Excellent communication - comfortable with C-suite and engineering audiences.
Desired (Nice to Have)
โ€ข Financial engineering from a bank is a clear winner: derivatives pricing, risk analytics, fixed income, or quant research.
โ€ข Capital markets knowledge: equities, FX, rates, credit, or commodities.
โ€ข Familiarity with the LSEG Innovation Delivery Playbook (LIDP) and the firm's internal AI accelerator cataloguing methodology - experience aligning prototype outputs to LIDP sprint frameworks is highly valued.
โ€ข LSEG product experience: Workspace, DataScope, World-Check, or Quantitative Analytics.
โ€ข Real-time market data, identifier mapping (RIC, ISIN, FIGI), time-series databases.
โ€ข Snowflake for governed analytical data access.
โ€ข Design thinking certification or equivalent facilitation training.
โ€ข CFA Level I or equivalent financial markets qualification.
Technical Stack
โ€ข Agentic Frameworks: LangChain / LangGraph, AutoGen, Semantic Kernel.
โ€ข Azure AI Foundry: model catalogue, Prompt Flow, Azure OpenAI (GPT-4o, o1), content safety.
โ€ข Microsoft Copilot Studio: custom copilots, Power Platform connectors, M365 / Teams deployment.
โ€ข Databricks: Mosaic AI, Unity Catalog, MLflow, Model Serving, Delta Lake.
โ€ข Python 3.10+, Pydantic, FastAPI, Jupyter Notebooks, GitHub / Azure DevOps.
โ€ข Financial Data: LSEG RDP APIs, MCP Connectors, RTO feeds. Snowflake (advantageous).
Qualifications & Certifications
Education
โ€ข Undergraduate degree or higher in Computer Science, Financial Engineering, Data Science, Mathematics, or equivalent quantitative field.
Required Certifications
โ€ข Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100).
โ€ข Python certification - PCEP or equivalent minimum.
Advantageous
โ€ข Databricks Certified Machine Learning Associate or Associate Developer.
โ€ข CFA Level I or equivalent financial markets qualification.
โ€ข Certified Scrum Developer or design thinking qualification.
Why Join Us?
Innovate & Lead - High-impact agentic AI projects redefining financial services.
Global Reach - Deliver workshops and prototypes for enterprise banking clients worldwide.
Keep Learning - Certifications, AI training, design thinking programmes, and mentorship.
Creative Freedom - Fail-fast culture. Experiment with cutting-edge agentic technology.
Competitive Benefits - Attractive compensation, flexible working, and access to LSEG's global L&D programmes.
Career Stage:
Manager
Compensation/Benefits Information:
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $115,300 - $192,100.
Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/"bonus plan"). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG's Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
London Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.