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Why this grade This listing scored 50/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Full-Time Any Data Science & Analytics
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
Position Overview
You’ll join our Chargeback Investigations team as a Data Analyst, serving as a front-line financial driver and data integrity gatekeeper for Signifyd. In this role, you will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud and chargeback risks for our customers.
Using your skills in data analysis, trend identification, and chargeback research, you will help track recovery performance, ensure claims align with card network policies, and deliver actionable data to help merchants and internal teams optimize their workflows for success. This is a high-impact role offering tremendous opportunities for growth, learning, and cross-functional leadership.
What You’ll Do
- Work independently and with your team to help achieve the overall goals of the department.
- Gather feedback and complete research for new products, features and developments
- Enhance our operational workflows via process improvements and identification of automation opportunities.
- Oversee quality assurance checks on new features
- Support Product teams in different Product and feature launch stages, ensuring alignment on timelines, requirements and success criteria.
- Develop metrics and projections on large datasets to extract trends, measure results and outcomes, identify areas of opportunity, and predict future performance.
- Turn insights into compelling business cases and recommendations that drive action and support business decisions based on insights gained from your data analysis.
- Build analytical tools and dashboards to quantify the impact of Chargeback Investigations team initiatives and identify opportunities for improvement
- Develop a deep understanding of how existing metrics are calculated, and ensure metrics source data is reliable and measures our effectiveness at combating integrity issues
- Collaborate with data science, BI, and product teams, prioritize issue resolution, and establish and maintain an operating rhythm and accountability to identify and resolve.
- Partnering with engineering, product, and merchant teams to fix root-cause vulnerabilities that generate avoidable chargebacks.
Requirements
- Fluent in English (written and verbal).
- Minimum of 2 years of experience in data-driven analytical roles (e.g., financial analysis, product analytics, business intelligence, or risk/operations).
- Proven data analysis capabilities, with experience using quantitative data to identify chargeback trends, optimize dispute win rates, and drive operational decision-making.
- Knowledge and experience using SQL, Python, Databricks and Looker
- Hands-on experience with payment processors across LatAm, EMEA, or North America.
- In-depth knowledge of card network regulations (Visa, Mastercard, American Express, Discover) specifically surrounding chargeback cycles, dispute rights, and merchant/consumer guidelines.
- Strong analytical and problem-solving skills, with the ability to translate complex transaction datasets and dispute metrics into clear actionable insights.
- Highly professional and adaptable, capable of keeping pace with changing environments while maintaining strict adherence to Signifyd’s Security and Privacy policies.
- Strict discretion and confidentiality when handling sensitive consumer data, financial metrics, and payment details.
- Excellent time management and organizational skills, with a proven ability to prioritize heavy data workloads, multitask, and work flexible hours as needed.
- Collaborative team player with a proactive attitude, comfortable executing independent data investigations as well as collaborating cross-functionally to improve chargeback processes.
Highly Desired
- Experience using a variety of payment platforms or processors across (e.g. Shopify, Stripe, PayPal, Adyen, Braintree)
- Experience analyzing transaction logs, chargeback documentation, and complex datasets.
- Proven track record of directly improving chargeback win rates or reducing overall chargeback-to-transaction ratios.
- Prior experience using automated chargeback management platforms or merchant portals (e.g., Ethoca, Verifi/Order Insight, Chargebacks911, Kount).
- Familiarity with local and alternative payment methods in key markets (e.g., Pix in LatAm, iDEAL or Klarna in EMEA) and their specific dispute mechanisms.
#LI-Remote
Benefits in Mexico:
- Health, Dental & Vision Insurance
- Life Insurance of 24 months salary
- Annual Performance Bonus
- Christmas Bonus of 1 Month’s Salary
- Food Vouchers
- Stock Options
- Paid Parental Leave
- Flexible Work Arrangements
- Telework Stipend for Home Internet
- 12 Paid Vacation Days with 85% Vacation Premiums
- Paid Holidays
- Company Social Events
- Signifyd Swag
- Dedicated learning budget through Learnerbly
- On-Demand Therapy for all employees & their dependents
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Apply for this role Opens jobicy.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 12 Aug 2026 4 Day Week first sighting
- 26 Aug 2026 Jobicy also listed, 14 days later
Seen on 2 boards over 14 days.