Senior Risk Data Analyst

About the role: In this role, you will leverage data and your profound understanding of business to facilitate strategic decision-making and performance enhancement in the risk operations of our rapidly expanding business. Members of the Risk Intelligence team are charged with pinpointing and tackling nascent threats and trends in payment abuse. They employ technical expertise, superb problem-solving abilities, and business insights to safeguard our clients. You should exhibit superior analytical skills, exceptional organizational habits, and the capacity to clearly communicate and present information to key stakeholders. You will collaborate closely with our leadership to generate significant KPIs, as well as deliver the in-depth analysis that guides crucial decision-making, and improvements to the company's trust and operational success. At Signifyd, you will be part of a purpose-driven company committed to fostering a vibrant and versatile work environment. Risk Intelligence is a vital component of our expanding organization that appreciates friendly collaboration, passion, and creativity.  Here’s more of what you will get to do: - Investigate unwanted user behavior and activity related to account and payment activities through effective data usage. - Detect trends, correlation, and patterns in complicated datasets via data mining, trend identification, root cause analysis, statistical analysis, and impact assessment. - Innovate and implement new strategies to counteract transactional risk by defining, optimizing, and organizing risk tools to curb questionable activity. - Responsible for the design, development, and management of real-time fraud rules in direct collaboration with relevant teams. - Communicate risk trends and mitigation impacts through weekly reports, ad hoc write-ups, and direct engagement with stakeholders at all levels throughout the organization.  - Design and deploy systematic anomaly detection alerts that help identify fraud in real time. You’ll collaborate with relevant teams to spot and alert against live threats in our network. - Collaborate with Data Science to brainstorm and assess new feature proposals to bolster model performance. - Develop an in-depth understanding of how current metrics are calculated, and ensure metrics source data is reliable and measures our effectiveness in combating risk issues. - Lead medium-scale projects in collaboration with Customer Success, Data Science, Product, and other stakeholders to prioritize issue resolution and establish and maintain an operating rhythm and accountability. - Support the Risk Intelligence team in crafting meaningful goals, KPIs, key planning, and operational needs. Requirements and Qualifications: - 2+ years of experience in a fast-paced eCommerce Fraud/Risk or related role - 3+ years experience in a Data Analytics or similar quantitative analytical role - 2+ years of Python experience and the ability to independently build custom tools from scratch to streamline risk detection infrastructure and workflows - Experience  working in a Jupyter/DataBricks/IntelliJ/ VsCode or equivalent environment - Highly proficient in writing SQL to query relational databases. - Advanced abilities with data visualization in Looker or equivalent business intelligence tools  - Proven analytical skills and ability to define & clearly articulate success through metrics and data-driven measurements - Exceptionally focused on data and analytics to solve problems and have a track record of driving results through continuous improvement You’ll thrive in this role if you: Have Strong Communication Skills - Proven ability to effectively communicate complex data and analysis to a wide range of both technical and non-technical stakeholders - Comfortable with ambiguity, making assumptions, drawing conclusions and simplifying complex analysis for non-technical audiences - Experience in capturing and documenting requirements, understanding business impacts and trade-offs - Ability to build and maintain strong relationships with key stakeholders and partners Are a Team Player - Excellent team player who can be agile and flexible in fast-changing and undefined situations - Adaptable to ever-changing work environments and routines, and willing to step in on another task if it's outside of their planned workday - Success depends on building rapport and credibility with multiple stakeholders across the organization Are a Self Starter:  - Approaches business problems with a sense of data-driven curiosity - Ability to work effectively in an autonomous fashion and eagerness to enable the success of stakeholders - Capability to manage multiple tasks under strict deadlines with meticulous attention to detail - Demonstrates a strong instinct for doing the right thing for our customers. Benefits in the USA: - 4-day workweek - Discretionary Time Off Policy (Unlimited!) - Talkspace Online Therapy Membership - Dedicated learning budget through Learnerbly - 401K Match - Stock Options - Annual Performance Bonus or Commissions - Paid Parental Leave (12 weeks) - Health Insurance - Dental Insurance - Vision Insurance - Flexible Spending Account (FSA) - Short Term and Long Term Disability Insurance - Life Insurance - Company Social Events - Signifyd Swag Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and the offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.