Early Warning Logo

Early Warning

Sr. Director, Fraud Risk Strategies - Analytics

Job Posted 14 Days Ago Posted 14 Days Ago
Be an Early Applicant
4 Locations
210K-250K Annually
Senior level
4 Locations
210K-250K Annually
Senior level
This role leads a team to develop and evolve fraud risk models, optimizing the balance of risk, expense, and experience in payment networks. Responsibilities include protocol development, team building, data-driven insights, stakeholder communication, and managing vendor relationships while ensuring compliance and system integrity.
The summary above was generated by AI

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

This role is accountable to build, manage and lead a team who will develop and perpetually evolve the rules, application of both internally and externally develop fraud risk models with the associated outcomes as it applies to decisions rendered to optimize the balance of risk, expense and experience while using the payment network in a variety of operating environments. This work must be done directly or in partnership with financial institutions in decisioning fraud risk.

Essential Functions

  • Develop the operating protocols under which a team of fraud analysts will assess, recommend and modify the application of scores and rules to deliver the optimal balance of risk, expense and experience for clients, consumers and partners in the network.
  • Provide effective leadership in developing highly engaged, high performance teams.
  • Lead the creation, implementation and appropriate usage of data driven insights for constant monitoring of effectiveness, efficiency and opportunities in the application of scores, rules and logic in the execution of managing fraud risk.
  • Deliver consistent communications to internal and external stakeholders regarding emerging risks, observed trends and related opportunities.
  • Interact, and influence based on data driven analysis, with senior executives both internal to the company and those of the participating financial institutions.
  • Manage a compliant change management process for fraud risk logic to ensure updates are executed without error, and audit records are maintained.
  • Manage multiple vendor relationships, ensuring business objectives are met, including compliance with info security, operational risk and business continuity standards.
  • Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data

Minimum Qualifications

  • Education and/or experience typically obtained through completion of a Bachelor’s Degree.
  • Demonstrate progressive experience in fraud risk management.
  • SQL/SAS competencies or comparable data analytics skills
  • Proven track record of converting concepts to analysis to cases for change
  • Exceptional executive presence, written and verbal communication skills
  • Experience with digital banking, payments and/or payment networks
  • Experience with financial institutions in the area of fraud risk management
  • Background and drug screen

Preferred Qualifications

  • Expert in several internal systems, data and practices as well as industry fraud trends.
  • SAS/SQL or comparable analytic coding certification
  • Experience with two or more financial institutions in the area of fraud risk management
  • Experience in both consumer and commercial banking applications
  • Additional related education and/or experience preferred

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position.

The base pay scale for this position in:

Phoenix, AZ/ Chicago, IL in USD per year is: $210,000 - $225,000.

New York, NY/ San Francisco, CA in USD per year is: $225,000 - $250,000.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Additionally, candidates are eligible for a discretionary bonus, and benefits.

Some of the Ways We Prioritize Your Health and Happiness 

  •  Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

  • 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

  • Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

  • 12 weeks of Paid Parental Leave

  • Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

 

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

 

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees. 

Top Skills

Sql,Sas,Data Analytics

Early Warning San Francisco, California, USA Office

275 Sacramento St, San Francisco, CA, United States, 94111

Similar Jobs

2 Hours Ago
Hybrid
4 Locations
205K-281K Annually
Senior level
205K-281K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Manager of Data Engineering, you will lead teams to develop data pipelines and cloud-based data platforms, utilizing advanced technologies to drive decision making and enhance customer experiences.
Top Skills: Aws GlueCassandraEmrGurobiHadoopHiveJavaKafkaLinuxMapreduceMongodbMySQLPythonRedshiftScalaSnowflakeSparkUnix
20 Hours Ago
Hybrid
9 Locations
Senior level
Senior level
Fintech • HR Tech
Lead ML initiatives in payments and risk, develop models, engage stakeholders, enhance Gusto's products using data-driven insights.
Top Skills: Logistic RegressionNeural NetworksPythonRRandom ForestXgboost
20 Hours Ago
Hybrid
Chicago, IL, USA
74K-124K Annually
Junior
74K-124K Annually
Junior
Cloud • Fintech • Machine Learning • Analytics • Financial Services
The Senior Associate Data Engineer designs, develops, and maintains data solutions while collaborating with peers and troubleshooting production issues.
Top Skills: Ab InitioAWSAzureBi StackCi/CdControl-MDatastageDevOpsEltETLGCPInformaticaLinuxPythonSnowflakeSQLTwsUnix

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account