Wisetack
Data Analyst
Since 2018, Wisetack has been building transparent and intuitive consumer lending products that help service-based businesses thrive (think HVAC companies, veterinarians, or auto repair shops).
Our leadership team comes from top fintech companies such as Lending Club, Affirm, and Varo Money. And we’re backed by leading VCs, including Insight Partners, Greylock, and Bain Capital Ventures (investors in Airbnb, LinkedIn, Instagram, Dropbox, and more).
Having raised $84M, we’re a well-funded startup and have invested in people and technology while growing our partnerships — responsibly.
But what you’ll find us gleaming about the most is the recognition from our own customers, particularly our sky-high NPS rating of 79. (For reference, the average score is 44 for financial services and 36 for SaaS companies.)
As a result of our efforts in building this healthy company culture, we’ve been nominated to several Great Places to Work lists, such as Best Small Workplaces, Best Workplaces in the Bay Area, and Best Workplaces in Financial Services & Insurance.
Like any startup, we’re in it for the long haul, and we’re looking for people willing to join our journey of building something special together.
This process starts with our company values, which guide us in everything we do — and have played a critical role in our success. We valiantly abide by them, and would expect you to do the same:
Put customers first (that’s our M.O.)
Act fast (leverage our startup environment).
Lead the way (show and tell).
Take ownership (everyone is hands-on here).
Be a good human (no egos, build financial products that do right by people).
The Role
In this role, you will utilize information in multiple systems to evaluate application verification processes and conduct thorough investigations of new and existing merchant and borrower accounts to identify and prevent potential fraud. Utilizing both first and third party data, you will closely identify and monitor fraud trends on our platform through ongoing analysis.
As a member of our team, you will be integral in shaping the future of Wisetack, ensuring the safety and security of our products and customers. Working with a tight knit group of other fraud professionals in close collaboration with the Operations, Risk, and Compliance teams, you will strive to improve our transaction monitoring systems and due diligence processes. You will also have the opportunity to contribute to our fraud detection and monitoring strategies by proposing new data points and attributes.
This role is ideally suited for someone with a minimum of 3-5 years of financial fraud investigation and analytics experience in the financial services industry. The successful candidate will demonstrate firsthand knowledge of fraud investigations, analytics and strategy, as well as the data points and analytic tools commonly used in the finance and/or lending industry. The ability to work independently with a high level attention to detail is required, in addition to excellent written/verbal communication skills and time management skills. Possession of a CFE, ACAMS or similar certification is highly desirable.
Responsibilities
Perform manual reviews and investigations of new and existing merchant and borrower accounts to identify and prevent potential fraud.
Develop and perform application verification processes based on fraud risk attributes.
Monitor and identify trends through ongoing analysis. Share findings with the fraud investigation and fraud risk team.
Partner closely with the Operations, Risk, and Compliance teams to improve monitoring and due diligence of transactions and consumers.
Propose new data points and attributes for fraud detection and prevention.
Requirements
Minimum 3-5 years of financial fraud investigations and analytics experience in the financial services industry.
Knowledge of analytic tools, platforms and systems utilized for fraud prevention in the financial and/or lending industry.
Excellent written/verbal communication and time management skills.
Ability to work independently with a high level attention to detail in a remote/WFH environment.
Highly experienced in working with data in Excel/Google Sheets.
Bonus points
CFE, ACAMS or similar certification.
SQL/Python experience
Experience using data visualization tools (Tableau, Looker, etc)
Experience in preparing and writing documentation to support SAR filings
Interview Process
Application Review
Recruiter Screen
Hiring Manager Screen
Writing Exercise
Virtual Onsite
Interview I
Interview II
Interview III
Final Interview with the Hiring Manager
References
Offer
The range of base salary for the position is between $70,800.00 – $99,100.00, plus equity, and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level and competencies.
To apply for this job please visit boards.greenhouse.io.