ZipRecruiter

Log In

1

Senior Fraud Risk Analyst Jobs in New York (NOW HIRING)

Rain

Data Scientist - Fraud Risk

New York, NY · On-site +1

$50K/yr

About the Team The fraud risk management team at Rain creates sophisticated, scalable risk ... Effectively summarize complex analytical results to leadership and non-technical stakeholders ...

Next Matter

Data Scientist - Fraud Risk

Manhattan, NY · On-site

$120 - $180/hr

About the Team The fraud risk management team at Rain creates sophisticated, scalable risk ... Effectively summarize complex analytical results to leadership and non-technical stakeholders ...

New

P2P

Data Scientist - Fraud Risk

Manhattan, NY · On-site

$120 - $190/hr

About the Team The fraud risk management team at Rain creates sophisticated, scalable risk ... Effectively summarize complex analytical results to leadership and non-technical stakeholders ...

New

BCB COMMUNITY BANK

Fraud Manager

Edison, NJ · On-site

$90K - $110K/yr

The Fraud Manager oversees the bank's fraud risk management program across all products, delivery ... Excellent analytical, investigative, and communication skills. * Excellent interpersonal skills ...

Morgan Stanley

Risk Analyst

New York, NY · On-site

$75K - $95K/yr

... senior management, regulatory authorities, Independent Process Validation Group, and Internal Audit ... Finance, Risk Analytics and Credit Risk - Perform, and participate in, regulatory and capital ...

Grasshopper Bank

Fintech Risk Analyst

New York, NY · On-site +1

Present risk assessment results to senior management for review and approval prior to onboarding ... fraud) and regulatory compliance (account opening, account maintenance and disclosures, bank ...

Morgan Stanley

Risk Analyst

New York, NY · On-site

$75K - $95K/yr

... senior management, regulatory authorities, Independent Process Validation Group, and Internal Audit ... Finance, Risk Analytics and Credit Risk - Perform, and participate in, regulatory and capital ...

Grasshopper Bank

Fintech Risk Analyst

New York, NY · On-site +1

Present risk assessment results to senior management for review and approval prior to onboarding ... fraud) and regulatory compliance (account opening, account maintenance and disclosures, bank ...

previous page

Showing results 41-60

All JobsFraud Risk Analyst JobsSenior Fraud Risk Analyst JobsSenior Fraud Risk Analyst Jobs in New York

Senior Fraud Risk Analyst information

See New York salary details

$58.5K

$120.2K

$155.9K

How much do senior fraud risk analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for senior fraud risk analyst in New York is $120,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $149,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior fraud risk analyst, and why are they important?

To thrive as a Senior Fraud Risk Analyst, you need expertise in fraud detection, risk assessment, data analysis, and a bachelor's degree in finance, business, or a related field. Familiarity with anti-fraud software, data analytics tools like SQL or Python, and relevant certifications such as CFE (Certified Fraud Examiner) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts spot patterns and present findings clearly. These skills are vital for identifying and mitigating fraud risks, protecting organizational assets, and ensuring compliance with regulations.

What does a senior fraud risk analyst do?

A Senior Fraud Risk Analyst is responsible for identifying, assessing, and mitigating risks related to fraudulent activities within an organization. They analyze data, investigate suspicious transactions, and develop strategies to prevent fraud. These professionals also collaborate with other departments, implement fraud detection systems, and ensure compliance with regulations. Their expertise helps protect the organization from financial losses and reputational damage.

What is the difference between Senior Fraud Risk Analyst vs Fraud Investigator?

AspectSenior Fraud Risk AnalystFraud Investigator
CredentialsBachelor's degree, certifications like CFE or CPA often preferredBachelor's degree, CFE certification common
Work EnvironmentAnalytical, data-driven, risk assessment teamsInvestigative, interview-focused, field or office-based
Employer & IndustryFinancial institutions, insurance, e-commerceFinancial services, law enforcement, corporate security

While both roles focus on fraud prevention, the Senior Fraud Risk Analyst primarily assesses risks and develops strategies, whereas the Fraud Investigator conducts investigations into specific fraud cases. The analyst role is more analytical and strategic, while the investigator is more hands-on and investigative.

How does a senior fraud risk analyst typically collaborate with other departments to identify and mitigate fraud risks?

Senior Fraud Risk Analysts often work closely with teams across the organization, such as compliance, IT, customer service, and legal departments. They collaborate to analyze transaction data, investigate suspicious patterns, and implement new fraud prevention strategies. Regular cross-functional meetings and sharing of insights are crucial to ensure that fraud risks are identified early and addressed effectively. This collaborative approach helps create a comprehensive defense against evolving fraud threats and supports a proactive risk management culture.
What are popular job titles related to Senior Fraud Risk Analyst jobs in New York? For Senior Fraud Risk Analyst jobs in New York, the most frequently searched job titles are:
What job categories do people searching Senior Fraud Risk Analyst jobs in New York look for? The top searched job categories for Senior Fraud Risk Analyst jobs in New York are:
What cities in New York are hiring for Senior Fraud Risk Analyst jobs? Cities in New York with the most Senior Fraud Risk Analyst job openings:
Senior Fraud Risk Analyst jobs near you

Senior Data Analyst - Fraud Strategy & Operations

Raisin

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your ResponsibilitiesAs the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.
  • Advanced Fraud Strategy & Analytics- Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance- Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration- Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile
  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from:
  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.

Salary Range
$120,000-$140,000 USD
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Apply