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machine learning engineer fraud risk

Rain

<div><h2 class="jobSectionHeader">About the Company</h2>
Rain makes the next generation of payments possible across the globe. We&rsquo;re a lean and mighty team of passionate builders and veteran founders. Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more. If you&rsquo;re curious, bold, and excited to help shape a borderless financial future, we&rsquo;d love to talk.<h2 class="jobSectionHeader">
Our Ethos</h2>
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.<h2 class="jobSectionHeader">
About the Team</h2>
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain&rsquo;s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.<h2 class="jobSectionHeader">
What you&rsquo;ll do</h2><ul><li>
Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis</li><li>
Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring</li><li>
Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams</li><li>
Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback).</li><li>
Build robust monitoring and alerting for model performance, latency, data quality, and drift</li><li>
Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases</li><li>
Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle</li><li>
Partner with platform teams to meet strict SLAs for availability, latency, and accuracy</li><li>
Collaborate closely with talented engineers, data scientist and compliance teams across Rain</li><li>
Work in a fast-paced environment on a rapidly growing product suite.</li><li>
Solve complex problems at the intersection of ML systems, data, and reliability</li></ul><h2 class="jobSectionHeader">
What we're looking for</h2><ul><li>
5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains</li><li>
A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Proven track record designing and maintaining ML models at scale</li><li>
Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)</li><li>
Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling</li><li>
Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems</li><li>
Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques.</li><li>
Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale</li></ul><h2 class="jobSectionHeader">
Nice to have, but not mandatory</h2><ul><li>
Domain expertise in banking, payments, or transaction monitoring</li><li>
Experience with graph-based or network-level fraud detection techniques</li><li>
A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field</li><li>
Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)</li><li>
Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts</li></ul><h2 class="jobSectionHeader">
Things that enable a fulfilling, healthy, and happy experience at Rain:</h2><ul><li>
Unlimited time off Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.</li><li>
Flexible working We support a flexible workplace. If you feel comfortable at home, please work from home. If you&rsquo;d like to work with others in an office, feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will receive a stipend to create a comfortable home environment.</li><li>
Easy to access benefits For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.</li><li>
Retirement goalsPlan for the future with confidence. We offer a 401(k) with a 4% company match.</li><li>
Equity plan We offer every Rainmaker an equity option plan so we can all benefit from our success.</li><li>
Rain Cards We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to use for testing.</li><li>
Health and Wellness High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!</li><li>
Team summits Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company off-sites both domestically and internationally.</li></ul>
Compensation Range: $187K - $258.7K</div>

Machine Learning Engineer - Fraud Risk

Intuit

<div>Category Security, Risk &amp; Fraud
Location New York, New York; New York, New York
Job ID 18884</div>
 <div><div>Company Overview
<div>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.
</div></div><div>Job Overview
Now, we are expanding our focus to Consumer Lending and banking within the Consumer Group. We are seeking a brilliant and passionate Staff Analyst for Fraud Policy to be a key player in safeguarding our ecosystem and building unwavering trust with our customers focusing on consumer banking products. This isn't just a job; it's an opportunity to be at the forefront of the fight against fraud in the dynamic world of fintech. 
You&rsquo;ll work closely with fraud strategy, data science, engineering, and customer support teams to ensure we deliver a secure and seamless experience for our customers while minimizing fraud losses and maintaining compliance with applicable regulations. 
Responsibilities<div>
Fraud Detection &amp; Investigation 
<ul><li>
 Monitor alerts and analyze real-time signals to detect suspicious activity (e.g., account takeover, check kiting, synthetic identity, mule activity, ACH fraud, remote access tools).</li></ul></div><div><ul><li>
 Investigate and resolve fraud cases across onboarding, KYC, account funding (e.g., ACH, Plaid, RTP), and account usage stages.</li></ul></div><div><ul><li>
 Leverage fraud tools and external vendor data to review high-risk activity and recommend actions. 
Data-Driven Analysis 
</li><li>
 Analyze fraud trends and patterns using data analytics tools (SQL, Excel, dashboards) to identify emerging threats or gaps in current detection logic.</li></ul></div><div><ul><li>
 Support creation and tuning of fraud detection rules, machine learning models, and velocity checks in collaboration with fraud strategy and data teams.</li></ul></div><div><ul><li>
 Track key fraud KPIs (e.g., fraud loss rates, false positive rates, return reasons like R05/R10) and prepare reports for stakeholders. 
Operational Efficiency &amp; Documentation 
</li><li>
 Respond to fraud-related escalations from customer support and other internal teams.</li></ul></div><div><ul><li>
 Assist in refining workflows and automations to improve response time and operational throughput.</li></ul></div><div><ul><li>
 Document fraud scenarios, case investigations, root cause analysis, and preventive actions.</li></ul></div><div>
Cross-Functional Collaboration 
<ul><li>
 Work closely with compliance, risk policy, customer support, engineering, and external vendors.</li></ul></div><div><ul><li>
 Participate in projects related to new product launches, fraud tooling enhancements, and regulatory reviews (e.g., SAR filings support).</li></ul></div><div><ul><li>
 Provide fraud subject matter expertise in discussions related to account security, identity verification, and payment flows.</li></ul></div>
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. 
Qualifications<div><ul><li>
 5&ndash;7 years of experience in fraud operations or fraud analytics, preferably in fintech, banking 
</li><li>
 Strong understanding of fraud typologies relevant to consumer financial products (e.g., synthetic identity, phishing/ATO, 1st/3rd party fraud, ACH disputes). 
</li><li>
 Experience with fraud tools and platforms (e.g., Alloy, Sift, Ekata, Kount, etc.) 
</li><li>
 Proficiency in analyzing fraud data using SQL and/or Excel; familiarity with Looker or other BI tools is a plus. 
</li><li>
 Familiarity with banking regulations and fraud return codes (e.g., ACH NACHA rules, Reg E, KYC/AML basics). 
</li><li>
 Strong analytical, investigative, and problem-solving skills. 
</li><li>
 Excellent communication and documentation skills.</li></ul></div><div>
Nice to Have 
<ul><li>
 Experience in fraud for digital banking, challenger banks, or fintech products. 
</li><li>
 Exposure to fraud rules management or machine learning-based detection systems. 
</li><li>
 Prior work with ACH return reason codes, dispute handling, or chargeback processes.</li></ul></div> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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: New York, City, NY $168,500 - $228,000</div></div>

Staff Fraud and Risk Analyst

Crowe LLP

<div>Your Journey at Crowe Starts Here:
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you&rsquo;re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That&rsquo;s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.
Job Description:
Financial Crime Consulting Manager (Fraud)
We are seeking a Financial Crime Consulting Manager with deep fraud risk expertise to lead advisory engagements, guide clients on regulatory expectations and industry best practices, and deliver strategic fraud management solutions across banks, FinTechs, and financial services organizations.
Responsibilities<ul><li>
Lead end-to-end fraud risk consulting engagements, including fraud risk and program assessments, policy and framework development, operational enhancements, and independent testing.</li><li>
Design, assess, and enhance enterprise fraud risk management programs and mitigation strategies.</li><li>
Advise clients on fraud-related regulatory and governance expectations (BSA/AML, FFIEC, CFPB, OCC, Reg E, Reg Z, UDAAP).</li><li>
Serve as a fraud risk subject matter expert, providing insight on fraud typologies, emerging risks, loss prevention, and the application of analytics, AI, and machine learning.</li><li>
Manage engagement teams and maintain accountability for scope, timelines, budgets, quality, and client satisfaction.</li><li>
Build trusted client relationships and identify opportunities for expanded services.</li><li>
Support business development, proposal development, thought leadership, and internal/external presentations.</li><li>
Collaborate with legal, compliance, audit, risk, and technology teams to deliver integrated solutions.</li><li>
Mentor junior staff and ensure quality and consistency of client deliverables.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree required; advanced degree preferred.</li><li>
Professional certifications such as CFE, CAFS, CAMS, CFCS, or equivalent strongly preferred.</li><li>
6+ years of experience in fraud risk management, financial crime compliance, internal audit, or consulting, including experience leading client engagements.</li><li>
Strong knowledge of fraud typologies, regulatory requirements, and fraud prevention technologies.</li><li>
Proven project management, communication, and stakeholder-management skills.</li><li>
Ability to lead teams, manage multiple priorities, and deliver high-quality results in a client-facing environment.</li><li>
Willingness to travel approximately 20% (as needed).</li></ul>
We expect the candidate to uphold Crowe&rsquo;s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.
The application deadline for this role is 01/30/2026.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.
Our Benefits: 
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! 
 
How You Can Grow: 
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! 
 
More about Crowe: 
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. 
 
Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.
Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.
Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.</div>

Financial Crime Consulting Manager (Fraud)

Millennium Management

<div><div><div>Job Description</div></div><div><div><div><div>
AI Engineer
We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades; modeling and building simulations of risk.
The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re-training, etc.
We are seeking a AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.
Key Responsibilities<ul><li>
Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.</li><li>
Experiment, iterate, productionize AI/ML solutions.</li><li>
Build supporting data and AI/ML infrastructure and tools.</li></ul>
Required Skills and Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field</li><li>
5+ years of professional experience with python</li><li>
Strong knowledge of the latest advancements in AI and machine learning.</li><li>
Strong fundamentals in computer science.</li><li>
Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.</li><li>
Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).</li><li>
Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine-tuning, etc.</li><li>
Ability to build and evaluate AI models and tools using quantifiable metrics.</li><li>
Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>
Strong communication skills to effectively collaborate with developers and other stakeholders.</li><li>
Adaptable and willing to work in a start-up-like environment within a major institution.</li></ul>
Preferred Qualifications<ul><li>
Advanced degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
Experience in developing AI solutions for financial institutions.</li><li>
Knowledge of additional programming languages and frameworks.</li></ul><div><div><div><div><div><div>
The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual&rsquo;s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.</div></div></div></div></div></div></div></div></div></div></div>

AI Engineer

California Coast University

<div>
 Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, with a focus on the country&rsquo;s 500,000 commercial fleets, 40 million commercial vehicles, and many million commercial drivers. The incumbent technologies that cater to these customers are decades old, and drivers and fleets increasingly demand modern digital experiences and affordable and transparent financial services products. Coast's mission is to deliver them at a transformational scale, beginning with the Coast Fleet and Fuel Card built on a cutting-edge spend management platform.
 
 
 As an early member of Coast&rsquo;s Risk team, you will help drive operational initiatives related to underwriting, customer risk management, and fraud. This role requires an understanding of underwriting processes and the ability to analyze risk vectors such as credit and fraud risks. You&rsquo;ll partner closely with our sales, customer operations, product, and engineering teams to partner and execute on risk strategies, and the ability to take ownership of credit risk outcomes and lead strategic initiatives.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Help support and apply Coast&rsquo;s risk underwriting policy used to onboard new business
 </li>
 <li>
 Investigate fraud events, conduct root cause analyses, and implement data-driven fraud defenses
 </li>
 <li>
 Execute Coast&rsquo;s risk credit policies on key customer management interactions, including credit limit increase/decrease requests and credit risk reviews
 </li>
 <li>
 Continuously evaluate and improve Coast&rsquo;s risk policies and decision systems by researching emerging trends in underwriting and fraud
 </li>
 <li>
 Partner with operations, product, engineering and sales teams to promote credit and fraud initiatives
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 BA/BS from an university with 1 or 2 years of experience working in risk or underwriting operations, preferably in a financial institution or fintech company
 </li>
 <li>
 Collaborative and humble mindset, with a track record of working effectively across teams
 </li>
 <li>
 Strong attention to detail and a commitment to accuracy
 </li>
 <li>
 Ability to work independently in a fast-paced, dynamic environment
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <ul>
 <li>
 Experience in high-growth startups
 </li>
 <li>
 Experience within corporate/small business cards, payments, lending, or related industries
 </li>
 <li>
 Strong SQL skills and ability to analyze data to create actionable insights
 </li>
 <li>
 Knowledge and understanding of KYC and KYB principles
 
 
 </li>
 </ul>
 
 What We'll Bring
 
 
 
 <ul>
 <li>
 Salary range: $65,000 &ndash; $75,000
 </li>
 <li>
 Equity grant
 </li>
 <li>
 A unique product that makes an actual impact on the businesses we serve
 </li>
 <li>
 Medical, dental, and vision insurance
 </li>
 <li>
 Flexible paid time off (vacation, personal well-being, paid holidays)
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Tools to help manage your financial wellness, including webinars, access to an equity tax advisory service, and company-sponsored 401K
 </li>
 <li>
 $400 accessories allowance for home office setup to be spent on a keyboard, mouse, headphones, etc.
 </li>
 <li>
 Education stipend
 </li>
 <li>
 Free lunch every Friday
 
 
 </li>
 </ul>
 
 About Coast
 
 
 
 Coast is founded and led by Daniel Simon, who previously cofounded Bread (breadpayments.com), a leading payments and credit technology firm backed by some of the world&rsquo;s top VCs which was acquired for $500MM+ in 2020.
 
 
 Coast has raised $165M in total funding &mdash; our recent $40M Series B equity round was led by ICONIQ Growth with participation from Thomvest, and Synchrony. We're also backed by top fintech and mobility venture funds &ndash; including Accel, Insight Partners, Better Tomorrow Ventures, Avid Ventures, Bessemer Venture Partners, BoxGroup, Foundation Capital, Greycroft, Colle &ndash; and premier angel investors &ndash; including Max Levchin (Affirm), Josh Abramowitz (Bread), Jason Gardner (Marqeta), William Hockey (Plaid), Ryan Petersen (Flexport), and many others.
 
 
 Check out our CEO's recent podcast interview with Primary Venture Partners and last year&rsquo;s product/market deep dive on Fintech Layer Cake with Coast Founder Daniel Simon!
 
 
 Coast is committed to diversity, equity, and inclusion. We are building a diverse and inclusive environment, so we encourage people of all backgrounds to apply. We&rsquo;re an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.
</div>

Risk Operations Associate

City National Bank

OPERATIONAL RISK FRAUD OVERSIGHT MANAGER II WHAT IS THE OPPORTUNITY? Operational Risk Management (ORM) is responsible for providing independent and objective oversight of the management of risks arising from City National Bank's business processes, people, systems or external events. Working with the Enterprise Risk Manager for Fraud and Payment Systems, the Fraud Manager II will contribute to the ongoing review and monitoring of operational risk programs executed by assigned 1LOD business or corporate unit(s), including Risk and Control Assessments, Control Management Activities, Key Risk Indicators, Operational Risk Events, Issue Management, Scenario Analysis, Risk Appetite, Products and aggregating and reporting of operational risk information to the Management Risk Committee, Risk Committee of the Board and RBC. The Fraud Manager II is responsible for providing advisory and oversight for Fraud within ORM, with a particular focus on strengthening operational risk management efforts to support decision-making. This position provides an excellent opportunity to strengthen the operational risk management framework, which includes risk identification and assessment; risk measurement; risk controls; and risk monitoring and reporting to improve operational resilience. WHAT WILL YOU DO? All responsibilities are related to Fraud: <ul><li>Work collaboratively with assigned business or corporate unit(s) to embed an understanding of the risk profile and risk appetite of the bank.</li><li>Review and challenge operational risk practices against CNB operational risk framework and policies, including but not limited to 1LOD output of risk identification assessments and scenario analysis, Risk and Control Self Assessments (RCSA's), Key Risk Indicators (KRI's), material existing and emerging exposures, Operational Risk Events (ORE) reporting, and issue resolution.</li><li>Understand material existing and emerging risks which align with assigned business or corporate unit(s) to ensure operation within risk appetite and fair representation of the operational risk profile</li><li>Review, challenge and monitor 1LOD risk appetite and key indicators, and their performance to risk appetite levels</li><li>Review and challenge whether 1LOD strategic priorities sufficiently consider the full spectrum of risks, and whether all risks have been adequately assessed across all strategic priorities</li><li>Provide advisory, oversight, and challenge to 1LOD development and implementation of business processes, procedures, and controls to adhere to operational risk governance requirements</li><li>Review and challenge 1LOD risk acceptances and new business initiatives</li><li>Credibly challenge 1LOD risk monitoring and reporting and related protocols, in conjunction with risk type teams, including metric trigger explanations and associated action plans</li><li>Review and challenge 1LOD annual testing and monitoring plans, the adequacy of control management activities and assessment results, and risk mitigation strategies to address gaps in control design or operating effectiveness</li><li>Review and challenge regulatory remediation activities in assigned coverage areas to ensure operational risk exposures associated with known control deficiencies are addressed. This includes providing oversight and challenge throughout the Issue Management Lifecycle, which may include issue details; root cause analysis; action plan; material issue changes; management's completion of the required and/or committed corrective actions with supporting evidence; control management activities; and sustainability.</li><li>Review and challenge self-identified issues and escalation in assigned coverage areas, including challenge of issue ratings, corrective action plans, due date extensions, and thematic issues in accordance with the CNB Issue Management Policy</li><li>Influence and monitor progress of action plans to improve the risk and control environment arising from risk assessments, risk monitoring, internal and external events, and regulatory exams</li><li>Exhibit high attention to details in identifying, aggregating, and communicating issues and control gaps to appropriate stakeholders</li><li>Lead with the preparation of status reports, key metrics and other ORM reporting information as requested by management, the Risk Committee or RBC.</li><li>Contribute to ad-hoc assignments/special projects</li><li>Maintain awareness of current regulatory/industry trends impacting the Bank's operational risk management program or practices.</li><li>Maintain familiarity of, and technical expertise with, business unit(s) organizational structure, personnel, activities and products, new product development, financial performance, and risk and problem areas</li><li>Act as an internal advisor to business and corporate units regarding the ORM framework, policies and procedures.</li><li>Support and facilitate audit and regulatory exam activities</li><li>Build effective relationships, alliances, and strategic partnerships across CNB and RBC to help deliver results and to ensure opportunities are identified, analyzed, and managed appropriately. Understand interdependencies to achieve success.</li><li>Build and grow risk talent through mentoring, coaching, and training</li></ul> WHAT DO YOU NEED TO SUCCEED? Required Qualifications <ul><li>Bachelor's Degree or equivalent</li><li>Minimum 10 years of experience in the financial services industry</li><li>Minimum 7 years of experience in risk management, operational risk management, compliance, or audit</li><li>Minimum 5 years of control assessment and validation experience</li></ul> Additional Qualifications<ul><li>Bachelor's degree or higher and other professional qualifications such as CPA, CIA, etc.</li><li>Knowledge of OCC rules and regulations (i.e. heightened standards for Large Financial Institutions)</li><li>Strong understanding of three lines of defense risk management structure and requirements</li><li>Strong understanding of Risk Management/Operational Risk Management</li><li>Strong knowledge of internal control management practices and testing methodology with proven experience in controls management design and/or execution</li><li>Strong knowledge of issue management practices with proven experience in issue resolution</li><li>Ability to handle complexity and ambiguity</li><li>Ability to deal effectively with conflict</li><li>Well-developed influencing skills</li><li>Strong interpersonal, verbal, and written communication skills</li><li>Demonstrated ability to think critically and facilitate change through collaborative effort.</li><li>Self-motivation, discipline, task focus, the ability to structure and present work and a proven record of delivering high quality results within strict deadlines.</li><li>Ability to multitask and prioritize several concurrent initiatives</li><li>Ability to work in a matrix environment</li></ul> WHAT'S IN IT FOR YOU? Compensation Starting base salary: $99,000 - $176,000 per year. Exact compensation may vary based on skills, experience, and location. This job is eligible for bonus and/or commissions. Benefits and Perks At City National, we strive to be the best at whatever we do, including the benefits and perks we offer our colleagues including:<ul><li>Comprehensive healthcare coverage, including Medical, Dental and Vision plans, available the first of the month following start date</li><li>Generous 401(k) company matching contribution</li><li>Career Development through Tuition Reimbursement and other internal upskilling and training resources</li><li>Valued Time Away benefits including vacation, sick and volunteer time</li><li>Specialized health and family planning benefits including fertility benefits, and cancer, diabetes and musculoskeletal support programs</li><li>Career Mobility support from a dedicated recruitment team</li><li>Colleague Resource Groups to support networking and community engagement</li></ul> Get a more detailed look at our Benefits and Perks. ABOUT US Since day one we've always gone further than the competition to help our clients, colleagues and communities flourish. City National Bank was founded in 1954 by entrepreneurs for entrepreneurs and that legacy of integrity, community and unparalleled client relationships continues today. City National is a subsidiary of Royal Bank of Canada, one of North America's leading diversified financial services companies. To learn more about City National and our dynamic company culture, visit us at About Us. INCLUSION AND EQUAL OPPORTUNITY EMPLOYMENT City National Bank fosters an inclusive environment where all forms of diversity are valued and leveraged to make us a better company and employer. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, veteran status or other basis protected by law. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Represents basic qualifications for the position. To be considered for this position, you must at least meet the required qualifications. accepts applications on an ongoing basis, until filled. Unless otherwise indicated as fully remote, reporting into a designated City National location is an essential function of the job.

Operational Risk Fraud Oversight Manager II

Mastercard

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Management Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Overview The AI Network Services team is building next-generation AI/ML products focused on fraud detection and decisioning. These products are grounded in strong engineering principles, aligned with enterprise architecture, and powered by the latest AI/ML technologies. A key focus area is developing global risk insights at both the account and merchant levels, and scaling these insights across the payments ecosystem to enhance customer experiences. Role We are looking for a Manager, Product Management to lead the development and scaling of fraud and risk solutions. This role will drive product strategy, development, execution, and adoption in collaboration with cross-functional teams. Key Responsibilities • Lead the roadmap and delivery of account and merchant-level fraud and risk solutions. • Collaborate cross-functionally with data science, engineering, and regional teams to define product requirements and prioritize initiatives. • Manage end-to-end product lifecycle-from scoping and execution to delivery and documentation. • Drive product adoption and usage, evangelizing the product benefits at a regional, customer, and geographic level • Drive regional accountability throughout the development and management process • Analyze product performance and identify opportunities for improvement and expansion • Define and track success metrics and KPIs to ensure product quality and impact. • Serve as a subject matter expert to drive internal and external adoption. All About You • Previous product management experience, including fraud and risk domains. • Strong understanding of payment fraud scenarios (e.g., account takeover, merchant risk, etc.). • Analytical mindset • Familiarity with the Studio development process • Excellent problem-solving and communication skills. • Proven ability to collaborate across teams and influence stakeholders. • Comfortable working in fast-paced, ambiguous environments. • Comfortable with knowing and applying basic AI and Data Science solutioning to problem statements • MBA a plus Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:<ul><li>Abide by Mastercard's security policies and practices;</li><li>Ensure the confidentiality and integrity of the information being accessed;</li><li>Report any suspected information security violation or breach, and</li><li>Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.</li></ul> In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.Pay RangesPurchase, New York: $137,000 - $218,000 USD

Manager, Product Management

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