Manager, Fraud Analytics

OppFi; United States; Remote; USD 102,000 - 154,000; Full time

Job summary

Join a forward-thinking company as a Fraud Analytics Manager, where you'll lead the charge in establishing a robust fraud analytics function. In this critical role, you'll analyze historical fraud data, identify emerging trends, and design effective strategies to safeguard customers. Collaborate with cross-functional teams to enhance fraud detection processes and contribute to reducing fraud losses while building customer trust. This role offers a unique opportunity to make a significant impact in the financial sector, fostering financial inclusion and promoting responsible lending practices.

Benefits

401(k) matching program

Generous paid time off

Medical, dental, and vision coverage

Tuition reimbursement

Lifestyle benefits platform

Access to LinkedIn Learning

DoorDash DashPass

Figo pet insurance

Qualifications

• 3-5 years of analytics experience with 2 years in fraud analytics.
• Proven understanding of fraudulent practices and methodologies.

Responsibilities

• Conduct deep-dive analyses on fraud events using transactional data.
• Develop and maintain KPIs and dashboards to track performance.

Skills

SQL

Fraud Detection

Data Analysis

Problem-Solving

Communication Skills

Education

Bachelor's or Master's degree in a quantitative field

Tools

Tableau

Python

Job description

OppFi is a tech-enabled, mission-driven specialty finance platform that broadens the reach of community banks to extend credit access to everyday Americans. Through best-in-class customer service, transparency, responsible lending, and financial inclusion, we support consumers, who are turned away by mainstream options, to build better financial health.

We are a team of caring, innovative, and inclusive individuals who thrive in being immersed in diverse talents, expertise, perspectives, and backgrounds. Our employees approach every new challenge with an unparalleled ability to see what could be rather than settle for what is. Our business principles guide us and create an open and collaborative culture where we improve 1% every day, and the best ideas always win! We welcome individuals who want to make an impact in the financial system by facilitating credit access, expanding financial inclusion, promoting financial health, and delivering exceptional customer service.

A few other fun facts about us. OppFi is one of the top consumer-rated financial platforms online, maintaining a 4.5/5.0-star rating on Trustpilot. We are a 2023 Crain’s Fast 50 company and were named on Built In's 2024 Best Places to Work in Chicago.

About the Role:

We are seeking a highly analytical and proactive Fraud Analytics Manager to establish and lead our fraud analytics function. This is a critical individual contributor role where you will be responsible for digging into historical data, identifying emerging fraud trends, and developing the strategies and rules to protect our customers. Your primary objectives in the first 6-12 months will be to analyze past fraud incidents to inform future strategy, design the next iteration of our fraud detection processes within the application flow, and proactively identify new fraud vulnerabilities and mitigation opportunities. Your work will directly contribute to reducing fraud losses and enhancing customer trust.

What You'll Do:

• Conduct deep-dive root cause analyses on fraud events using transactional data, customer communications, application details, and PII data to understand vulnerabilities and patterns.
• Develop, monitor, and maintain KPIs and dashboards using tools like Tableau to track performance and identify emerging trends.
• Design, propose, and collaborate on the implementation of new fraud detection rules and strategies, partnering closely with Credit Risk, Fraud Operations, Compliance, and BSA/AML teams.
• Explore and potentially develop predictive models or analytics to proactively identify high-risk activities or applications.
• Analyze historical data to understand how OppFi has been impacted by fraud and build foundational knowledge for future prevention.
• Partner with the Fraud Operations team to investigate suspicious activities flagged by your analysis and rules.
• Collaborate with the Credit Risk team to integrate fraud rules into the underwriting process and work with other teams to address post-funding fraud detection.
• Act as a strong cross-functional partner, considering holistic business needs and ensuring decisions align with the company's best interests.
• Prepare and present findings, performance summaries, and strategic recommendations to various audiences, including weekly business reviews and monthly updates to senior leaders.

What You'll Need (Basic Qualifications):

• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Data Science, or related field).
• 3-5 years of analytics experience with 2 years of direct experience in fraud analytics or a closely related risk analytics field.
• Intermediate proficiency in SQL for complex data extraction and manipulation.
• Proven understanding of fraudulent practices, typologies (such as identity theft, synthetic ID, account takeover, etc.), and methodologies for detection and prevention.
• Excellent problem-solving and analytical skills with the ability to navigate ambiguous situations and draw data-driven conclusions.
• Strong communication skills, with the ability to articulate complex findings clearly to both technical and non-technical audiences. Proven ability to synthesize complex information and present strategic recommendations to senior leadership.
• Demonstrated intellectual curiosity and a willingness to dive deep into data, including researching individual cases.

Preferred Qualifications:

• Related experience in the finance or fintech field.
• Hands-on experience with Python for data analysis or modeling.
• Proficiency with data visualization tools such as Tableau, Looker, PowerBI, or similar.
• Experience collaborating effectively with cross-functional teams like Compliance, Credit, and Operations in a fast-paced setting.

Team & Environment:

You will report to the Senior Manager of Operations Analytics. We operate in a fast-paced, highly collaborative environment where individuals are expected to wear multiple hats, embrace ambiguity, and drive results through data.

Total Rewards and Benefits:

At OppFi, we are committed to fostering a fair and equitable workplace. The compensation range for this role reflects our good faith compensation estimate for this position. Final offers are determined based on a myriad of factors including, but not limited to experience, skills, qualifications, and other relevant business considerations. Candidates are encouraged to discuss compensation expectations during the hiring process. In addition to base pay, the total compensation package includes eligibility and potential for performance-based bonuses and equity grants dependent upon the role and job level.

OppFi offers a flexible, remote environment, 401(k) matching program, and generous paid time off. Other benefits include medical, dental, and vision coverage, and tuition reimbursement. Additional benefits include DoorDash DashPass, Figo pet insurance, Rocket Lawyer, and access to LinkedIn Learning. OppFi also offers Fringe, a lifestyle benefits platform that allows employees to decide how to spend rewards from dozens of vendors like Uber, DoorDash, and UrbanSitter. #LI-Remote

Compensation Range:

$102,400—$153,600 USD

EEO Statement:

OppFi is an equal opportunity employer and does not discriminate based on any actual or perceived legally recognized protected bases under local, state, federal law, or regulations. Our goal as a company is to build an equitable workplace that actively works to dismantle systems of oppression in our processes, procedures, and interactions. We aim to help our employees thrive where they work and beyond. Check out our Culture page here.

As part of OppFi’s commitment to providing equal opportunity to qualified individuals, OppFi will ensure that persons with disabilities are provided reasonable accommodation as defined by applicable laws and organizational policies. If reasonable accommodation is needed to participate in the job application or interview processes or job requirements, please contact our People Team at [e-mail].

Pursuant to the requirements of the California Consumer Privacy Act, OppFi is providing the "OppFi California Employee Privacy Policy", which details the categories of personal information collected and your rights under the policy. If you are a California resident, please review the policy here: https://www.oppfi.com/careers/.

The information in this document is for general informational purposes only. It is not intended to be an all-inclusive list or description of the organization and its requirements for positions and employees. OppFi reserves the right to modify or change the information on this document at its discretion.