Fraud Risk Data Analyst

MoneyLion is a digital financial platform on a mission to rewire a broken banking system that applies a one-size-fits-all approach to personal finance. Since our launch in 2013, we've engaged with over 8.5 million hard-working Americans, with a focus on empowering them to take control of their finances to achieve their life goals. Our award-winning platform delivers holistic banking, lending and investing solutions while surrounding each customer with personalized tools, content and advice relevant to their unique financial situation - all in a single app.

We pride ourselves on being the most innovative team in Fintech, and all of our team members are passionate about making a difference in people's lives. We work fast, collaborate always and, above all else, we do it for our customers.

MoneyLion is headquartered in New York City, with offices in Sioux Falls, and Kuala Lumpur, Malaysia, and we also support remote team members around the globe.

As Fraud Risk Analyst, you are responsible for working with internal and third-party data to detect patterns, derive insight, and inform strategy as it relates to fraud risk management. This individual will be a self-starter who is able to effectively translate data into actionable recommendations. You will work to detect and mitigate a number of various fraud MOs, including identity theft, synthetic identity fraud, account takeover, first-party fraud, and other responsibilities assigned.

Key Responsibilities

• Leverage data-driven insights to support and drive changes to fraud strategy, transaction/user monitoring, and anomaly detection
• Work closely with VP, Fraud Risk Management
• Be an organizational expert on our tracking tools; educate and evangelize a data-driven approach throughout the user experience
• Continue to develop our in-house risk analytics tools to track portfolio performance and make recommendations
• Perform ad-hoc data studies based on requirements from management
• Evaluation/validation of external data and predictive models
• Using both internally- and externally-developed models, determine score cutoffs, optimization, champion-challenger treatments, etc., in support of Fraud strategy
• Perform investigative analyses using structured and unstructured data in order to identify predictive features, detect patterns, and optimize rules/strategies
• Forecasting of key fraud metrics
• Timely fulfillment of Regulatory / Compliance Data Needs
• Work with the senior management team to support decisions with data
  

• 5+ years of fraud risk and/or analytical experience
• Experience working with databases (e.g. MongoDB,PostgreSQL, ElasticSearch, etc)
• Knowledge of R or Python
• Ability to formulate novel solutions to problems, communicate thought process clearly, and think within the context of larger business needs and targets
• Firm grounding in statistics, specifically related to exploratory and predictive modeling methods, A/B testing, design of experiments, etc.
• Familiarity with forecasting models and methodologies
• Familiarity with risk models, decision engines, rules management systems, and other elements used in the administration of risk management strategy and policy
• Familiarity with threat landscape and various fraud MOs as they apply to credit/debit card, payments, lending, cryptocurrency, etc.

Visa sponsorship is not available for this position.

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation. Every member of the MoneyLion Pride is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages and bonuses
• Comprehensive medical, dental, vision and life insurance benefits
• Equity based compensation
• Wellness perks
• Paid parental leave
• Unlimited Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more "other" than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.