research analyst intern

analyst

brokerage operations analyst Jobs in New York

brokerage operations analyst

credit risk analyst

fig investment banking analyst Jobs in New York

fig investment banking analyst

ai model risk analyst

MetLife

<div><div><div><div><div><div>Location(s)
</div><div><ul><li>Posting Location: New York, New York</li></ul><br>
<ul><li>
Posting Location: Whippany, New Jersey</li></ul><br>
</div></div></div></div></div><div><div><div><div><div>City/Cities
</div><div>New York, Whippany
</div></div><div><div>Country
</div><div>United States
</div></div><div><div>Working Schedule
</div><div>Full-Time
</div></div><div><div>Work Arrangement
</div><div>Hybrid
</div></div><div><div>Relocation Assistance Available
</div><div>No
</div></div><div><div>Posted Date
</div><div>30-Oct-2025
</div></div><div><div>Job ID
</div><div>13276
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p><b>Role Value Proposition:</b></p><p>
Global Risk Management (GRM) oversees MetLife&rsquo;s financial and non-financial risks to support responsible growth and ensure we deliver on our promises to customers and stakeholders. GRM accomplishes this through proactive advice, independent and effective challenge, and through implementation and enforcement of guardrails. This position sits within Model Risk, GRM Data &amp; Analytics.</p><p>
You will be responsible for developing AI solutions for Global Risk Management along with our talented team. These AI solutions cover areas such as investment, insurance products and customer protection. In addition, you will participate in improving the performance and adoption of existing AI solutions by aligning with the Company&rsquo;s strategic goals and deliver insights and recommendations.</p><p>
You will use your talent and skills gained in your academic and professional endeavors to innovate and make an impact. We will provide the selected candidate with coaching and mentoring to develop new skills that will shape the course of their career.</p><p>
The candidate will have demonstrated very strong quantitative and communication skills allowing them to create innovative AI solutions to solve business problems and clearly communicate the approaches and impact to business owners. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key global stakeholders across the Company.</p><p>
The candidate will gain broad exposure to a wide range of modeling techniques, product lines, functions, and businesses across the globe.</p><p></p><p><b><br>
Key Responsibilities:</b><i>
</i></p><div><ul><li>Develop AI solutions to solve business problems across Global Risk Management, such as NLP to analyze latest news, predictive model to forecast market trends, etc.</li><li>
Develop advanced analytics and visualization to help understand AI outputs, and highlight useful insights for business users.</li><li>
Identify alternative mathematical approaches and implementations to benchmark existing AI models to enhance their performance and efficiency.</li></ul></div><p></p><p><b><br>
Essential Business Experience and Technical Skills:</b></p><p><i>
</i><b>Required:
</b></p><div><ul><li>Graduate degree in a quantitative field (e.g., advanced mathematics, statistics, physics, or computer science).</li><li>
Very strong mathematical background and experience in programing languages such as Python and C#.</li><li>
Foster innovation and collaboration: Cultivate a culture of creativity, agility, and cross-functional teamwork</li><li>
2+ years of experience.</li></ul></div><p><b>
Preferred:</b></p><div><ul><li>
Experience with data analytics and machine learning packages in Python.</li></ul></div>
</div></div><div><div><div>The expected salary range for this position is $105,200 - $140,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.</div>
</div></div></div></div></div><div><div><div><div><div><b>Benefits We Offer</b><div><br>
Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, volunteer time off, tuition assistance and much more!</div>
</div></div><div><div><b>About MetLife</b><div><p><br>
Recognized on Fortune magazine's list of the &quot;World's Most Admired Companies&quot;, Fortune World&rsquo;s 25 Best Workplaces&trade;, as well as the Fortune 100 Best Companies to Work For&reg;, MetLife, through its subsidiaries and affiliates, is one of the world&rsquo;s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
</p><p></p><p>Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we&rsquo;re inspired to transform the next century in financial services. At MetLife, it&rsquo;s #AllTogetherPossible. Join us!</p></div><br>
</div></div></div></div></div><div></div><div><div><div><div><div><br>
<i>MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (&ldquo;protected characteristics&rdquo;).</i><div></div><div><i><br>
If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.</i><br>
<br>
<i>MetLife maintains a drug-free workplace.</i></div>
</div></div><div><div>$105,200 - $140,000</div></div></div></div></div></div>

AI Model Risk Analyst

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p><p>
Intuit&rsquo;s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.</p><div>
As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Staff AI Scientist to join our Consumer Risk AI Science team. In this role, you&rsquo;ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.</div><p><b><br>
Responsibilities</b></p><h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data strategy across all involved teams.<ul><li>
Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)</li><li>
Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions</li><li>
Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures</li><li>
Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers</li><li>
Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks</li></ul></li><li>
Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.</li><li>
Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.</li></ul><h3 class="jobSectionHeader">
What&rsquo;s great about the role:</h3><ul><li>
Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.</li><li>
Experience professional growth and encourage growth throughout the team.</li><li>
Work cross functionally (with executives, engineering, policy &amp; rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact</li></ul><p><b><br>
Qualifications</b></p><h3 class="jobSectionHeader">
Minimum Qualifications:</h3><ul><li>
Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline</li><li>
7-10 years of work experience in AI Science / Machine Learning and related areas</li><li>
Authoritative knowledge of Python and SQL</li><li>
Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and lending</li></ul><ul><li>
Experience leveraging credit bureau, tax and cash flow data in credit risk model development</li><li>
Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.</li><li>
Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation</li><li>
Ability to quickly develop a deep statistical understanding of large, complex datasets</li><li>
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models</li><li>
Strong business problem solving, communication and collaboration skills</li><li>
Ambitious, results oriented, hardworking, team player, innovator and creative thinker</li><li>
Proven experience defining and driving end-to-end modeling frameworks, methodologies, or best practices across multiple product teams or domains.</li><li>
Demonstrated ability to evaluate and integrate emerging AI/ML technologies, contributing to the company&rsquo;s external technical visibility and innovation agenda.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.</li><li>
Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow</li><li>
Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control</li><li>
Experience with experimentation design and analysis, including A/B testing and statistical analysis.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><div><i><br>
Bay Area: $205,500 - $278,000</i></div><div><i>
Southern California: $191,500.00 - $259,000.00</i></div><div><i>
New York: $201,500.00 - $273,000.00.</i></div></div><p></p>

Staff Credit Risk AI Scientist - Fintech Consumer Risk

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p><p>
Intuit&rsquo;s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.</p><div>
As we expand into Consumer Lending within the Consumer Group, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Senior AI Scientist to join our Consumer Risk AI Science team. In this role, you&rsquo;ll develop cutting-edge credit risk AI/ML models for new lending products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.</div><p><b><br>
Responsibilities</b></p><h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Contribute to the credit risk AI science initiatives for the new and evolving Money product offerings focusing on the lending domain, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data strategy across all involved teams.<ul><li>
Design, build, deploy, evaluate, defend, and monitor machine learning models to predict credit risk for various short-term lending products (e.g., tax refund advances, BNPL, installment loans, single payment loans, and early wage access)</li><li>
Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions</li><li>
Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures</li><li>
Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers</li><li>
Ensure model fairness, interpretability, and compliance with FCRA, ECOA, and other relevant regulatory frameworks</li></ul></li><li>
Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.</li><li>
Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.</li></ul><h3 class="jobSectionHeader">
What&rsquo;s great about the role:</h3><ul><li>
Solve hard, meaningful problems giving customers access to their hard-earned money alongside fun, smart people.</li><li>
Experience professional growth and encourage growth throughout the team.</li><li>
Work cross functionally (with executives, engineering, policy &amp; rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact</li></ul><div></div><p><b><br>
Qualifications</b></p><h3 class="jobSectionHeader">
Minimum Qualifications:</h3><ul><li>
Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline</li><li>
3-6 years of work experience in AI Science / Machine Learning and related areas</li><li>
Authoritative knowledge of Python and SQL</li><li>
Relevant work experience in fintech credit risk, with deep understanding of payment systems, money movement products, banking, and lending</li><li>
Experience leveraging credit bureau, tax and cash flow data in credit risk model development</li><li>
Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.</li><li>
Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation</li><li>
Ability to quickly develop a deep statistical understanding of large, complex datasets</li><li>
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models</li><li>
Strong business problem solving, communication and collaboration skills</li><li>
Ambitious, results oriented, hardworking, team player, innovator and creative thinker</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.</li><li>
Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow</li><li>
Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control</li><li>
Experience with experimentation design and analysis, including A/B testing and statistical analysis.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><div><i><br>
Bay Area California: 173,500 - 234,500</i><br>
<i>Southern California: 160,500 - 217,000</i><br>
<i>New York, NY: 172,000 - 232,500</i></div></div>

Senior Credit Risk AI Scientist - Fintech Consumer Risk

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><p>
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p><p>
Intuit&rsquo;s Consumer Group, including TurboTax and Credit Karma, empowers millions of individuals to take control of their finances. TurboTax simplifies tax preparation and enables our customers to file with confidence. By harnessing the power of data and artificial intelligence (AI), we continuously innovate and evolve our consumer offerings to deliver even greater value.</p><div>
As we expand our primary banking and lending products, Intuit Credit Karma is looking for an innovative, experienced, and hands-on Senior AI Scientist to join our Consumer Risk Data Science team. In this role, you&rsquo;ll develop cutting-edge credit risk AI/ML fraud models to enable existing and new money movement products. Join a collaborative and inventive team of AI scientists and machine learning engineers where your work will have a direct impact on hundreds of thousands of customers.</div><p><b><br>
Responsibilities</b></p><h3 class="jobSectionHeader">
What you&rsquo;ll do:</h3><ul><li>
Contribute to the fraud risk AI science initiatives for the new and evolving Money product offerings, including complete hands-on ownership of the model lifecycle, sharing ownership of success and key results at the program-level, and driving the data strategy across all involved teams.<ul><li>
Design, build, deploy, evaluate, defend, and monitor machine learning models to predict and detect fraud risk for our primary banking product (CK Money) and various short-term lending products (e.g., tax refund advances, FNPL, installment loans, single payment loans, and early wage access)</li><li>
Collaborate with credit policy, product and fraud risk teams to ensure models align with business goals and product offering to drive actionable lending decisions</li><li>
Build efficient and reusable data pipelines for feature generation, model development, scoring, and reporting using Python, SQL, and both commercially available and proprietary Machine Learning and AI infrastructures</li><li>
Deploy models in a production environment in collaboration with other AI scientists and machine learning enginers</li><li>
Ensure model fairness, interpretability, and compliance</li></ul></li><li>
Contribute to the evolution of our data and machine learning infrastructure within the Intuit ecosystem to improve efficiency and effectiveness of AI science solutions.</li><li>
Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.</li></ul><h3 class="jobSectionHeader">
What&rsquo;s great about the role:</h3><ul><li>
Solve hard, meaningful problems giving customers (not fraudsters) access to their hard-earned money alongside fun, smart people.</li><li>
Experience professional growth and encourage growth throughout the team.</li><li>
Work cross functionally (with executives, engineering, policy &amp; rules, product, analytics, operations and other AI science teams) to ensure efficient and effective use of data science in ways that make an immediate, substantial, and sustainable impact<br>
<i>Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</i></li></ul><p><b><br>
Qualifications</b></p><h3 class="jobSectionHeader">
Minimum Qualifications:</h3><ul><li>
Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline</li><li>
3-6 years of work experience in AI Science / Machine Learning and related areas</li><li>
Authoritative knowledge of Python and SQL</li><li>
Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data</li><li>
Relevant work experience in credit risk and/or financial fraud risk, with deep understanding of payment systems, money movement products, banking, and lending</li><li>
Experience with and deep understanding of developing, deploying, monitoring and maintaining a variety of machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, and natural language processing.</li><li>
Deep understanding of fraud risk modeling concepts, including fraud score calibration, label bias correction, case disposition logic, and network or graph-based link analysis for identifying organized or collusive fraud patterns.</li><li>
Ability to quickly develop a deep statistical understanding of large, complex datasets</li><li>
Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models</li><li>
Strong business problem solving, communication and collaboration skills</li><li>
Ambitious, results oriented, hardworking, team player, innovator and creative thinker</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications:</h3><ul><li>
Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.</li><li>
Work experience with public cloud platforms (especially GCP or AWS) and workflow orchestration tools like Apache Airflow</li><li>
Strong background in MLOps infrastructure and tooling, particularly Vertex AI or AWS SageMaker, including pipelines, automated retraining, monitoring, and version control</li><li>
Experience with experimentation design and analysis, including A/B testing and statistical analysis.</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p><i>
Bay Area,CA: $173,500 - $234,500</i><br>
<i>Southern California,CA: $160,500.00 - $217,000.00</i><br>
<i>New York $172,000.00 - $232,500.00</i></p></div>

Senior Fraud AI Scientist - Consumer Risk Fraud

American Express

<div>
 <p>
  <span>
   <span class="TextRun SCXW226060318 BCX8 NormalTextRun">
    At American Express, our culture is built on a 175-year history of innovation, shared
   </span>
  </span>
  <span>
   <span class="TextRun Underlined SCXW226060318 BCX8 NormalTextRun">
    <u>
     values
    </u>
   </span>
  </span>
  <span>
   <span class="TextRun SCXW226060318 BCX8 NormalTextRun">
    and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
   </span>
   <span class="EOP SCXW226060318 BCX8">
    &nbsp;
   </span>
  </span>
 </p>
 <p>
  <span>
   <span class="TextRun SCXW226060318 BCX8 NormalTextRun">
    Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
   </span>
   <span class="EOP SCXW226060318 BCX8">
    &nbsp;
   </span>
  </span>
 </p>
 <span>
  <span>
   <strong>
    The Team
    <br/>
   </strong>
  </span>
 </span>
 <span>
  <span>
   The Enterprise Comms &amp; MarTech Experiences (ECMX) team is a global organization within Membership Portfolio Services (MPS). As American Express&rsquo; marketing services center of excellence, we power high-quality, efficient, and user-centric digital marketing experiences that accelerate business growth through world-class MarTech and MarOps solutions.
   <br/>
  </span>
 </span>
 <span>
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  The Enterprise Comms &amp; MarTech Experiences (ECMX) team is a global organization within Membership Portfolio Services (MPS). As American Express&rsquo; marketing services center of excellence, we power high-quality, efficient, and user-centric digital marketing experiences that accelerate business growth through world-class MarTech and MarOps solutions.
  <br/>
 </span>
 <span>
  <span>
   <strong>
    The Role
    <br/>
   </strong>
  </span>
 </span>
 <span>
  Search is often the first touchpoint between a customer and our brand &mdash; and you&rsquo;ll be at the center of shaping that experience. As an
  <strong>
   SEO Analyst at American Express
  </strong>
  , you&rsquo;ll play a key role in building and scaling our Enterprise SEO Framework, ensuring millions of customers around the world can easily discover and engage with our products and services.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  This is a unique opportunity to blend
  <strong>
   hands-on technical SEO expertise
  </strong>
  with creativity and experimentation. You&rsquo;ll collaborate across marketing, product, and technology teams to drive measurable growth, while also tapping into
  <strong>
   cutting-edge Generative AI (GenAI) tools
  </strong>
  to optimize workflows and unlock new possibilities for search.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  Search is often the first touchpoint between a customer and our brand &mdash; and you&rsquo;ll be at the center of shaping that experience. As an
  <strong>
   SEO Analyst at American Express
  </strong>
  , you&rsquo;ll play a key role in building and scaling our Enterprise SEO Framework, ensuring millions of customers around the world can easily discover and engage with our products and services.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  This is a unique opportunity to blend
  <strong>
   hands-on technical SEO expertise
  </strong>
  with creativity and experimentation. You&rsquo;ll collaborate across marketing, product, and technology teams to drive measurable growth, while also tapping into
  <strong>
   cutting-edge Generative AI (GenAI) tools
  </strong>
  to optimize workflows and unlock new possibilities for search.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  If you&rsquo;re curious, data-driven, and excited about the chance to make a global impact at one of the world&rsquo;s most respected brands, this role is for you.
 </span>
 <span>
  <br/>
  <br/>
 </span>
 <span>
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  Search is often the first touchpoint between a customer and our brand &mdash; and you&rsquo;ll be at the center of shaping that experience. As an
  <strong>
   SEO Analyst at American Express
  </strong>
  , you&rsquo;ll play a key role in building and scaling our Enterprise SEO Framework, ensuring millions of customers around the world can easily discover and engage with our products and services.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  This is a unique opportunity to blend
  <strong>
   hands-on technical SEO expertise
  </strong>
  with creativity and experimentation. You&rsquo;ll collaborate across marketing, product, and technology teams to drive measurable growth, while also tapping into
  <strong>
   cutting-edge Generative AI (GenAI) tools
  </strong>
  to optimize workflows and unlock new possibilities for search.
  <br/>
  <br/>
  <br/>
 </span>
 <span>
  If you&rsquo;re curious, data-driven, and excited about the chance to make a global impact at one of the world&rsquo;s most respected brands, this role is for you.
  <br/>
 </span>
 <span>
  Key Responsibilities
  <br/>
 </span>
 <ul>
  <li>
   <p>
    <span>
     <strong>
      Support SEO Strategy Execution
     </strong>
     : Partner with SEO leads, business units, and agencies to implement SEO best practices for U.S. and global markets.
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <strong>
      Technical SEO Contributions
     </strong>
     : Assist in analyzing platform improvements (JavaScript/React environment) to ensure crawlability, indexation, and site performance.
     <br/>
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <strong>
      AI-Enhanced SEO Workflows
     </strong>
     : Use GenAI tools to support keyword research, content optimization, metadata generation, and reporting.
     <br/>
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <span>
     </span>
     <strong>
      Cross-Functional Collaboration
     </strong>
     : Work with product, engineering, and marketing teams to integrate SEO into new experiences, migrations, and redesigns.
     <br/>
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <strong>
      Performance Tracking
     </strong>
     : Collaborate with analytics to monitor KPIs, track results, and identify new growth opportunities.
     <br/>
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <strong>
      Education &amp; Evangelism
     </strong>
     : Help communicate SEO best practices across teams and act as a resource for day-to-day SEO questions.
     <br/>
    </span>
   </p>
  </li>
  <li>
   <p>
    <span>
     <strong>
      Agency &amp; Vendor Partnership
     </strong>
     : Support the coordination and tracking of deliverables with external SEO partners.
    </span>
   </p>
   <p>
    &nbsp;
   </p>
  </li>
 </ul>
 <p>
 </p>
 <span>
  <br/>
 </span>
 &nbsp;
 <span>
  Required Skills &amp; Qualifications
  <br/>
 </span>
 <ul>
  <li>
   <span>
    2+ years of SEO experience (agency or in-house; enterprise/global experience a plus).
    <br/>
   </span>
  </li>
  <li>
   <span>
    <span>
     &nbsp;
    </span>
    Familiarity with SEO tools (e.g., Screaming Frog, SEMrush, Ahrefs, Google Search Console, Adobe Analytics, etc.).
    <br/>
   </span>
  </li>
  <li>
   <span>
    Advanced technical SEO understanding and web architecture (HTML, CSS, JavaScript).
    <br/>
   </span>
  </li>
  <li>
   <span>
    Exposure to or interest in using Generative AI to enhance SEO workflows.
    <br/>
   </span>
  </li>
  <li>
   <span>
    Strong communication and collaboration skills, with the ability to work effectively across teams.
    <br/>
   </span>
  </li>
  <li>
   <span>
    Strong organizational and analytical skills with attention to detail.
    <br/>
   </span>
  </li>
  <li>
   <span>
    Bachelor&rsquo;s degree in Marketing, Communications, Computer Science, or a related field (preferred).
    <br/>
    <br/>
   </span>
  </li>
 </ul>
 <span>
  Salary Range: $55,000.00 to $105,000.00 annually + bonus + benefits
  <br/>
  <br/>
 </span>
 <span>
  The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
  <br/>
  <br/>
 </span>
 <span>
  We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 </span>
 <ul>
  <li>
   <span>
    Competitive base salaries&nbsp;
   </span>
  </li>
  <li>
   <span>
    Bonus incentives&nbsp;
   </span>
  </li>
  <li>
   <span>
    6% Company Match on retirement savings plan&nbsp;
   </span>
  </li>
  <li>
   <span>
    Free financial coaching and financial well-being support&nbsp;
   </span>
  </li>
  <li>
   <span>
    Comprehensive medical, dental, vision, life insurance, and disability benefits&nbsp;
   </span>
  </li>
  <li>
   <span>
    Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
   </span>
  </li>
  <li>
   <span>
    20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy&nbsp;
   </span>
  </li>
  <li>
   <span>
    Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
   </span>
  </li>
  <li>
   <span>
    Free and confidential counseling support through our Healthy Minds program&nbsp;
   </span>
  </li>
  <li>
   <span>
    Career development and training opportunities
    <br/>
   </span>
  </li>
 </ul>
 <span>
  For a full list of Team Amex benefits, visit our
 </span>
 <span>
  <u>
   Colleague Benefits Site
  </u>
 </span>
 <span>
  .
  <br/>
  <br/>
 </span>
 <span>
  American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
  <br/>
  <br/>
 </span>
 <span>
  We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
  <br/>
  <br/>
 </span>
 <span>
  US Job Seekers - Click to view the &ldquo;
 </span>
 <span>
  <u>
   Know Your Rights
  </u>
 </span>
 <span>
  &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window:
 </span>
 <span>
  <u>
   https://www.eeoc.gov/poster
   <br/>
   <br/>
  </u>
 </span>
 <span>
  <span class="TextRun SCXW177187689 BCX8 NormalTextRun">
   Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
  </span>
  <span class="EOP SCXW177187689 BCX8">
   &nbsp;
  </span>
 </span>
</div>


SEO Analyst

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
</p><p>Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
</p><h2 class="jobSectionHeader"><b>About the General Counsel&rsquo;s Organization (GCO)
</b></h2><p>The General Counsel&rsquo;s Organization (GCO) of American Express is where great legal minds influence global business strategy. The GCO mission is to protect and strengthen American Express through legal expertise and strategic advice that helps business partners manage risk, identify opportunities, and deliver on the company&rsquo;s promise of exceptional products and services.
</p><h2 class="jobSectionHeader"><b>About the Role
</b></h2><p>The legal landscape is transforming &mdash; and so is American Express. Within the General Counsel&rsquo;s Organization (GCO), we are redefining how legal teams deliver value by embedding innovation, operational excellence, and strategic foresight into everything we do.
<br>
<br>
As Vice President &amp; Senior Counsel &ndash; Legal Risk, Central Support &amp; Service Delivery, you will bring both a lawyer&rsquo;s perspective and a business partner&rsquo;s mindset. Drawing on your experience inside a corporate legal department &mdash; and your understanding of how business clients rely on legal guidance &mdash; you will shape frameworks, partnerships, and innovations that strengthen governance, enhance efficiency, and elevate how legal services are delivered globally.
<br>
<br>
This newly created role offers a unique opportunity to drive transformation at scale &mdash; influencing how American Express identifies, manages, and mitigates legal risk while advancing the innovation and consistency of legal service delivery across the globe. The position reports to Managing Counsel, Legal Risk, Central Support &amp; Service Delivery.
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><h3 class="jobSectionHeader"><b>Strategic Leadership
</b></h3><ul><li><p>Define and evolve the GCO&rsquo;s enterprise approach to legal risk management, governance, and operational excellence.
</p></li><li><p>Shape the operating model for the legal function &mdash; ensuring clear roles and accountabilities in how we support the 3 Lines of Defense model, robust controls, and strong engagement across teams.
</p></li><li><p>Develop the future ambition of the legal department and help us get there.
</p></li><li><p>Deputize for leader when required, providing leadership continuity and maintaining momentum across initiatives.<br>
<br>
</p></li></ul><p></p><br>
<h3 class="jobSectionHeader"><b>Program Oversight &amp; Execution
</b></h3><ul><li><p>Lead cross-functional initiatives that strengthen legal governance, internal controls, and compliance frameworks.
</p></li><li><p>Develop and embed enterprise-wide standards for legal risk and operational accountability.
</p></li><li><p>Partner with Compliance, Technology, and Risk colleagues to ensure consistent and effective implementation of frameworks.<br>
<br>
<br>
</p></li></ul><h3 class="jobSectionHeader"><b>Innovation &amp; Transformation
</b></h3><ul><li><p>Modernize legal services using technology, data, and process improvements. Promote adoption of generative AI, automation, and analytics to enhance decisions and service delivery.
</p></li><li><p>Serve as a bridge between legal teams and business partners, translating legal frameworks into practical, client-centered solutions that enable the business to operate confidently and effectively.
</p></li><li><p>Foster a culture of continuous improvement &mdash; designing scalable, data-driven delivery models that promote transparency, simplicity, and measurable value.<br>
</p></li></ul><p></p><br>
<br>
<h3 class="jobSectionHeader"><b>Stakeholder Engagement &amp; Communication
</b></h3><ul><li><p>Build trusted relationships across Legal Operations, Control Management, and business units to align on priorities and drive outcomes.
</p></li><li><p>Develop and present high-impact materials and dashboards for senior governance forums and executive briefings.
</p></li><li><p>Work collaboratively with audit, compliance, and enterprise risk teams to proactively identify, manage, and report on legal risks.<br>
<br>
<br>
</p></li></ul><h2 class="jobSectionHeader"><b>Required Qualifications and Experience
</b></h2><ul><li><p>Juris Doctor (JD) and admission to practice law in the United States, or equivalent international qualification.
</p></li><li><p>At least 10 years of relevant legal experience, including work as in-house counsel and in private practice.
</p></li><li><p>Experience in compliance, risk management, or operations.
</p></li><li><p>Deep appreciation for both the in-house legal perspective and the client experience &mdash; with a proven ability to translate between the two to deliver practical, business-oriented legal solutions.
</p></li><li><p>Experience working with, and evaluating, a variety of legal technology platforms.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Key Competencies
</b></h2><ul><li><p>Visionary, strategic, and forward-thinking leader with a passion for innovation and transformation.
</p></li><li><p>Collaborative and skilled at building strong relationships across teams and locations worldwide.
</p></li><li><p>Naturally curious about how business teams operate and motivated by helping them achieve goals responsibly and efficiently.
</p></li><li><p>Exceptional communication skills with strong executive presence and the ability to translate complex issues into actionable insights.<br>
<br>
<br>
</p></li></ul><h2 class="jobSectionHeader"><b>Why You&rsquo;ll Love This Role
</b></h2><ul><li><p>Shape the future of legal risk management and service delivery at a global financial leader.
</p></li><li><p>Redefine how the GCO delivers value &mdash; combining your experience as a lawyer and business advisor to influence how legal risk and business outcomes are managed across the enterprise.
</p></li><li><p>Thrive in a culture that values integrity, agility, and continuous learning &mdash; where your expertise has global impact.
</p></li></ul><p></p><p>Salary Range: $219,000.00 to $338,250.00 annually + bonus + equity (if applicable) + benefits
</p><p>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</p><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
</p><ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul><p>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
</p><p>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
</p><p>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
</p><p>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
</p><p>Employment eligibility to work with American Express in the U.S is required as the company will not pursue visa sponsorship for these positions</p></div>

VP & Senior Counsel - Legal Risk & Service Delivery

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.<br>
<i>Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</i></li></ul><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
<br>
New York<i>: $201,500 - $273,000</i></p></div><p></p>

Staff AI Scientist

Explore 362+ Ai model risk analyst in New York this November. Find roles across top companies and apply now to boost your career.