Job Description

In Strategy & Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360 stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization's total enterprise reinvention.


We are:


Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their execs the sounding board they need and the industry best practices they seek. We've got the deep industry experience, the functional insights, the data power, and the digital tech leadership to help our clients make important changes. Through our capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we solve our clients' toughest problems, to get ready for the future. Visit us here: Simplify Compliance and Improve Risk Management | Accenture.

You are:

A consultant who has helped build and deliver transformative

AI/ML and GenAI

initiatives in the

Financial Services

industry (banking, insurance, capital markets). . You bring

client-facing and consulting capabilities

, experience

operationalizing AI

-- from vendor selection and prototyping to testing, automation, deployment, and monitoring. With an understanding of model lifecycle and

AI risk governance

, you help clients harness AI safely and securely, aligning innovation with regulatory compliance, data security, and business outcomes.

The work:

Support client engagements

focused on deploying AI/GenAI solutions, navigating regulatory landscapes, and delivering measurable business outcomes Contribute to AI initiatives including evaluating vendor platforms, designing and testing prototypes, integrating enterprise data pipelines, and automating workflows Assist leads who are providing oversight across the

model lifecycle

-- supporting development, independent validation, monitoring, and control enhancements for model and AI governance Partner with clients to

test and deploy GenAI and traditional AI models

, ensuring alignment with ethical AI principles, operational controls, and business context Support the implementation of

AI risk mitigation frameworks

, addressing data security, privacy, access control, explainability, model bias, and monitoring Collaborate with technology teams to ensure seamless

deployment and automation of AI/GenAI solutions

in production environments Aid in evaluating third-party AI platforms, LLM providers, and emerging tools for fit, functionality, compliance, and risk exposure

Travel as needed based on client expectations.

Here's what you need:

Minimum of 3 years' banking or consulting experience delivering

AI/ML or model lifecycle solutions in Financial Services and/or Insurance

, including hands-on client delivery. Minimum of 3 years' experience supporting the

testing, automation, monitoring, or deployment

of AI/ML models and applications in production environments Minimum of 2 years' experience implementing

model risk governance frameworks

, including controls for model validation, bias mitigation, and performance monitoring Experience working with Python and understanding of, but not limited to, libraries like

LangChain

and

Huggingface

Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Engineering, Information Systems, Applied Mathematics)

Bonus points if:

Consulting experience

from a top competitor firm is highly preferred. Experience in

model validation, audit, or model risk management

within a regulated Financial Services environment Prior experience working in or with

regulatory bodies

(e.g., OCC, FRB, OSFI, FDIC) in model supervision, AI governance, or data risk Exposure to

deployment and risk controls

for credit risk, AML/KYC, fraud detection, or marketing models Familiarity with leading

AI/GenAI vendor platforms

, including LLMs, open-source models, and APIs (e.g., OpenAI, Anthropic, Amazon Q, Microsoft Copilot) Hands-on experience with cloud environments (AWS, Azure, GCP) or MLOps tools for automating and monitoring AI pipelines Demonstrated understanding of data security principles, including data encryption, access management, PII handling, and compliance with GDPR/CCPA/OSFI B-13 Experience supporting

business transformation through AI

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New Jersey, New York or Washington as set forth below.



We accept applications on an on-going basis and there is no fixed deadline to apply.


Information on benefits is here.


Role Location Annual Salary Range


California $63,800 to $205,800


Colorado $63,800 to $177,800


District of Columbia $68,000 to $189,300


Illinois $59,100 to $177,800


Minnesota $63,800 to $177,800


Maryland $63,800 to $177,800


New York/New Jersey $59,100 to $205,800


Washington $68,000 to $189,300

Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.


Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.


Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.


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