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staff ai scientist fintech consumer fraud risk

Intuit

<div>Category Data
Location Mountain View, California; New York, New York; Oakland, California
Job ID 18792</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
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.
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.
As we expand our primary banking and lending products, 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 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. 
Responsibilities
What you&rsquo;ll do:<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 modeling 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>
What&rsquo;s great about the role:<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</li></ul> 
Qualifications
Minimum Basic Requirements:<ul><li>
Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline</li><li>
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><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>
Preferred Qualifications:<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> 
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:
Bay Area California $ 205,500- 278,000
New York $ 201,500- 273,000</div></div>

Staff AI Scientist - Fintech Consumer Fraud Risk

<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

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

Oscar Health

<div>Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Ensures processes and policies are aligned with departmental strategies and roadmaps</li>
<li>May mentor junior data scientists and/or analysts</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>3+ years of industry or other quantitative technical fields (which may include academia).</li>
<li>2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data</li>
<li>2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing</li>
</ul>
Bonus points:
<ul>
<li>Masters degree in a quantitative or technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

Data Scientist II: Networks and Contracts

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

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.
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Financial Crime Consulting Manager (Fraud)

<div>Hi, we're Oscar. We're hiring a Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves&mdash;one that behaves like a doctor in the family.

About the role:

As a Data Scientist I, you will partner closely with our Market P&amp;L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into the Senior Data Scientist.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:
<ul>
<li>Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.</li>
<li>Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.</li>
<li>Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.</li>
<li>Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.</li>
<li>Compliance with all applicable laws and regulations</li>
<li>Other duties as assigned</li>
</ul>
Requirements:
<ul>
<li>A bachelor's degree in a technical field OR 1+ years of relevant work experience</li>
<li>1+ years experience working with SQL or intermediate Python [For example, working with multiple data sources]</li>
<li>1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis</li>
</ul>
Bonus points:
<ul>
<li>Master's degree in a technical field</li>
<li>Knowledge of or previous work experience in health care or health insurance</li>
</ul><div>
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care - an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.</div></div>

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