Anti Fraud Data Science Manager at Sendwave

Your key areas of focus :
If you’ve ever seen The Tinder Swindler , FYRE, or The Wizard of Lies you know fraud is an infinitely repeating social struggle that leaves the most vulnerable to pay the price. The Risk team at Sendwave builds and supports everything needed to aggregate the individual fraud cases and stop the scheme from ever being lucrative for the fraudster. This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams, and improving our monitoring capabilities. You’ll leverage your Data-to-Insights skills to develop accurate, targeted defenses that remove fraud from our platform.
In your first few months you’ll:

Set KPIs and scope constraints for new modeling projects to decrease our information lag between fraud happening and us receiving feedback of its presence.
Develop heuristics to quickly fight fraud.
Identify missing tooling and suggested verification actions to help our risk representatives make sense of the system’s decision to block and correctly assess the situation.
Evaluate and spec out integrations for new data sources for our fraud detection algorithms.
Diligently work to lower false-positive rates
Develop strategies to detect previously unseen patterns that may indicate a new fraud attack.
Develop strategies and tools to help less technical individuals develop fraud-fighting heuristics.
Automate the training and deployment of updated models.
Develop a new anomaly detection algorithm, helping us spot strange behavior before a chargeback occurs.
Help build experiments to evaluate new models, third-party data sources, and tooling.

We're building out a best-in-class Risk infrastructure that can enable us to grow and we're hoping to find an engineering manager that's excited to solve data-driven problems in an adversarial environment.
What you bring to the table:

4+ years of professional experience training and deploying models.
At least 3 years creating production models or building analysis in the industry
At least 1 year managing an engineering team of 3-5 people
Work authorization in the country in which you intend to be based.
Possess strong python software development skills.
Experience in two or more of the following areas:

Machine Learning (Scikit Learn, Tensorflow, Keras, XGBoost, H2O, etc...)
SQL Analytics (BigQuery, Redshift, PostgresSQL, Athena, etc)
Visualization Tools (matplotlib, seaborn, streamlit, Looker, Tableau, Periscope, etc)


Bonus points if you:

You like building data driven systems and know SQL.
Have strong engineering fundamentals — you've built applications in python as well as trained model and are comfortable with supporting all layers of the stack.
Demonstrate tenacity and a willingness to go the distance to get something done. You don't mind doing things manually but automate at every opportunity.
Are inquisitive, intellectually curious and can make sense of complex systems or information.
Can work in a structured approach towards goals and pay attention to detail.
Can easily communicate with non-technical folks and translate their feedback into code.
Are comfortable defaulting to over-communication and overreaching when it comes to coordination.
Adjust quickly to changing priorities and conditions and cope effectively with complexity and change.
Have developed models that deal with extreme class imbalance
Have worked in a team of mixed talent before (Data Scientists, ML Engineers, Backend Engineers)
Have fraud or financial experience.

Key details:


Team Composition: The Risk Team is a combination of ML engineers, Operation Specialists, and Data Scientists. Functionally the team is comprised of three pillars (Operations, Data Science, and Engineering) that collaborate in all sprint and quarterly planning meetings to create a balanced roadmap. You will be responsible for the Data Science pillar and directly manage both Data Scientists and Engineers.

Team Philosophy: The team functions on a 2-week sprint cycle with a Results Only Work Environment meaning you won’t be micromanaged but instead given the creative space needed to thrive in a highly collaborative setting
Location:

Our company is 100% remote, and has been since we were founded. Sendwave hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Recruiting team can help answer any questions about location as we move further into recruiting process. For this role we are targeting candidates in between GMT -6 and GMT +2, hiring within these locations: Belgium, Canada, Costa Rica, France, Germany, Kenya, Poland, Senegal, UK and US.

Major benefits:

A competitive salary and company equity pegged to it
Subsidized health insurance and retirement contribution matching (both vary from country to country)
26 weeks fully paid parental leave and subsidized fertility assistance
Unlimited vacation with a 20-day minimum requirement
$10,000 annual charitable donation matching