13 publicaciones de empleo destacadas de analyst data science en ciudad de méxico, dif (¡Están contratando!)

Fraud Data Analyst
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
10h
Clinical Community Analyst
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Enfermería
- Administración de personal
- Análisis de datos
1h
Senior Strategy BP Analyst
DiDi Global —Cuauhtémoc, CDMX
- Microsoft Excel
- Inglés
- SQL
18h
Software Developer, Senior
Qualcomm —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
(Senior) Data Team Lead
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Licenciatura
- Liderazgo
Senior System Administrator
Arcadion —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Inglés
Postulación rápida
Manager, GBS - Finance Intelligence Deployment
Kraft Heinz Company —Ciudad de México, CDMX
- Informática
- Licenciatura
- Python
10d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Manager, GBS - Finance Intelligence AI
Kraft Heinz Company —Ciudad de México, CDMX
- Informática
- Licenciatura
- Python
10d
Senior Software Engineer with Accounting Experience (LATAM)
Sezzle —Ciudad de México, CDMX
- $5,000 a $9,500 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Senior Data Analyst
MVC Mexico City Marketing & Sales —Ampliación Granada, CDMX
- Azure
- Informática
- Inglés
Sr. Cyber Risk Analyst
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Administración de personal
- Informática
- Maestría
Postulación rápida
8d
Business Analyst
Orion Innovation —Ciudad de México, CDMX
- SQL
- Habilidades de comunicación
Postulación rápida
2h

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Clinical Community Analyst
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Fraud Data Analyst

Sezzle -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 10 horas

Cualificaciones

Estadísticas
Matemáticas
Inglés
SQL
Licenciatura
Python

Descripción completa del empleo

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We're not just transforming payments; we're redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we're building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you're excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a detail-oriented and analytical Fraud Data Analyst to join our growing team. The ideal candidate will have a passion for uncovering fraudulent activities and a strong understanding of fraud prevention strategies. In this role, you will be responsible for identifying, investigating, and preventing fraudulent transactions and activities, utilizing your analytical skills and experience with SQL to query and analyze data. You will play a crucial role in protecting our company and our customers from financial loss and reputational damage.

Due to the requirements of the position, only English resumes will be accepted.

What You'll Do:

Monitor transactions and customer accounts to identify and investigate suspicious or fraudulent activity.
Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns.
Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings.
Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior.
Develop and implement fraud prevention rules, strategies, and controls.
Stay up to date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention.

What We Look For:

Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field).
Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role.
Minimum of two (2) years of experience working with SQL and Python.
Strong analytical and problem-solving skills with a keen attention to detail.
Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.).
Experience with fraud detection tools and platforms is a plus.
Excellent written and verbal communication skills, with the ability to clearly articulate complex issues.
Ability to work independently and as part of a team in a fast-paced environment.
Strong organizational skills and the ability to manage multiple priorities effectively.
High level of integrity and a commitment to ethical practices
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Preferred Qualifications

Work experience in fintech, payments, lending, banking, or financial institutions is a plus
Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree a plus

About You:

You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
You're not bound by convention - your success—and much of the fun—lies in developing new ways to do things
You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
You earn trust - you listen attentively, speak candidly, and treat others respectfully.
You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators; we are skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers. We believe in surrounding ourselves with not only the best and the brightest individuals, but those that are unique and purpose-driven in all that they do. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

#Li-remote #full-time

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analyst data science empleos en ciudad de méxico, dif

Fraud Data Analyst

Clinical Community Analyst

Senior Strategy BP Analyst

Software Developer, Senior

(Senior) Data Team Lead

Senior System Administrator

Manager, GBS - Finance Intelligence Deployment

AI DevOps Engineer

Manager, GBS - Finance Intelligence AI

Senior Software Engineer with Accounting Experience (LATAM)

Senior Data Analyst

Sr. Cyber Risk Analyst

Business Analyst

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