Skip to content

Open nowPosted 25 days ago

Associate - AI Governance & Reporting - Model Risk

ms114 open roles

Where
New York, New York, United States of America
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowAssociate - AI Governance & Reporting - Model Riskms · New York, New York, United States of America
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ms's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. ms postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 25 days ago

ms median: 3 days open

The posting

Morgan Stanley's Firm Risk Management (FRM) Division is an exciting and rapidly growing space. We support Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, operational, model and other risks.

Associate - AI Governance & Reporting

Position Summary

The Associate will support the delivery of AI-enabled solutions across Model Risk Management (MRM) Governance and Reporting. This role combines Scrum Master responsibilities with hands-on support for identifying, coordinating, and implementing AI-driven process improvements. The individual will work closely with business stakeholders, technology teams, reporting teams, and AI initiatives to accelerate automation, improve operational efficiency, and enhance reporting capabilities across MRM.

This role will play a key part in driving agile delivery practices, managing solution backlogs, coordinating stakeholder engagement, and helping transform governance and reporting processes through innovative AI technologies. The responsibilities closely align with current MRM efforts to expand AI adoption across governance, reporting, inventory management, and workflow automation.

Key Responsibilities

Identify and deliver AI and automation opportunities across MRM governance, reporting, inventory management, and policy assurance.

Support policy assurance activities, including monitoring compliance, findings, remediation actions, exceptions, and governance commitments.

Support model, Tool, and EUC inventory governance, including attestations, verifications, data-quality reviews, discrepancy resolution, control monitoring, and reporting.

Prepare dashboards, metrics, executive summaries, presentations, and other materials for senior management and governance forums.

Support MRM training, communications, FAQs, procedures, templates, and stakeholder guidance.

Document requirements and coordinate cross-functional testing, implementation, adoption, and stakeholder communication.

Facilitate Agile ceremonies, maintain backlogs and delivery roadmaps, and track milestones, dependencies, risks, impediments, and delivery metrics.

Qualifications

Bachelor's degree in business, technology, data analytics, finance, risk management, or a related field.

1-4 years of experience in Agile delivery, project coordination, business analysis, reporting, governance, risk management, or technology.

Strong analytical, organizational, communication, and stakeholder-management skills.

Advanced Excel and PowerPoint skills.

Familiarity with Agile and Scrum practices.

Preferred Qualifications

Experience with AI, GenAI, automation, Power BI, Jira or similar tools.

Experience in financial services, governance, risk management, reporting, or inventory oversight.

Scrum Master or project-coordination experience.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against ms's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on ms's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    ms's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.