Job Application for Risk Analytics Wrangler - Woo Payments at Automattic Careers

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We are the people behind WordPress.com, Tumblr, Jetpack, WooCommerce, and more! As a member of the Risk Operations team, you’ll be at the forefront of protecting payment solutions and the merchants who use WooCommerce, Tumblr and WordPress.com, among other products.

WooCommerce is an open-source solution that allows users to customize every part of an online store and is the most popular ecommerce platform on the web. We have a huge footprint, but we’re a small company. That means everyone here has the opportunity to make a visible, profound, and lasting difference while helping store owners that rely on WooCommerce every day.

As a member of the Risk Operations team, you’ll work cross-functionally with support, product, engineering, data, and at times directly with customers, to ensure our solutions are secure and that our platform is a safe place to run a business!

Key Responsibilities:

Develop and document data-informed processes for risk management across our suite of products and features, with a focus on WooPayments.
Lead projects designed to document and expand data sources required to detect and prevent fraud in Merchant Risk and Transaction Risk domains.
Develop and test rules for fraud prevention in internal and third-party tools, and partner to operationalize these where necessary for manual review workflows.
Perform analysis and research on current and historical data that helps us make the right decisions for risk management, to protect and accelerate the growth of Payments products and features, and to limit fraud losses.
Provide P2 reports on a consistent cadence about current trends in Risk domains and impacts of the work Risk performs. Create business intelligence dashboards to guide decision making.
Support the Risk Operations Manager through ongoing initiatives to develop the risk platform.
Remain informed about current trends in fraud and risk affecting our suite of products by actively participating in reviews of customer accounts, collaborating with Fraud Analysts, and through ongoing education (reading, conference attendance).
Partner with our internal cross-functional team members (Data, Engineering) and partners (Product, Support, Operations, Finance) to surface key insights and takeaways to drive effective decision making.

Experience and Qualifications:

You enjoy research and investigation, and are curious and methodical in your approach to work.
Can leverage your technical skills in SQL and business intelligence tools to surface meaningful insights and opportunities for improvement to risk management.
Enjoy identifying opportunities for improvement or innovation in a large pool of data, and are capable of identifying a vulnerability or opportunity, defining it clearly, and operationalizing effective responses for the team.
Have strong technical and analytical skills in SQL, Sheets, Looker and/or Superset.
Have at least 3+ years in similar strategic, analytical, and operational roles. Have experience translating business problems related to fraud and risk into questions, and collaborating with experts (Data, Engineering) to find answers and develop solutions.
Risk, fraud, and payments/ecommerce experience would be highly desirable. An understanding of how to evaluate customers and scenarios for potential fraud risk or brand risk and make supportable decisions is key.
Experience with using WordPress, WooCommerce, and Akismet are highly desirable.
Experience with use of dashboards and/or business intelligence reporting to inform decisions (Looker, Spreadsheet).
Are a strong and clear communicator. Risk at Automattic relies on daily communication via our P2 internal blogging system, Linear, and Slack. Defining and communicating ongoing issues, requesting feedback from affected teams, and advocating for solutions is a must.
Are a cross-team collaborator. Risk at Automattic serves multiple payments products and features, each with their own leads and stakeholders, and requires regular ad-hoc collaboration to be effective.
Are a proactive team member, comfortable with setting and managing your own priorities, keeping teams up-to-date on current work, and jumping in to assist when needed by the team or by partners.

Salary range: $85,000-$110,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency.

We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.

About Automattic

We’re the people behind WordPress.com, WooCommerce, Tumblr, Simplenote, Jetpack, Longreads, Day One, Pocket Casts, and more. We believe in making the web a better place.

We’re a distributed company with more than 1400 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world.

We believe in Open Source, and the vast majority of our work is available under the GPL. Automattic is a Most Loved Company and Disability Confident Committed. (Here’s what that might mean for you.) Learn more about our dedication to diversity, equity, and inclusion and our Employee Resource Groups.

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Tell us about your experience with SQL and data analysis tools. Walk us through a specific example where you used SQL to solve a business problem or uncover insights from data. What tools did you use (like Looker, Superset, or similar), and what was the outcome?

Describe your experience with fraud prevention, risk management, or payments. Have you worked in fraud prevention, risk analysis, or payments before? If so, tell us about a time you used pattern analysis to investigate a trend, account or anomaly, which led to sustainable prevention. If not, describe any relevant analytical work you’ve done that contributed to a systemic approach to monitoring data for trends or anomalies, and how that work had an impact.

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Risk Analytics Wrangler - Woo Payments

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