20 publicaciones de empleo destacadas de machine learning platform en loreto cdmx (¡Están contratando!)

Financial Operations Analyst
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Mantenimiento
- Inglés
13d
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
1d
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Lead Product Manager, Recommendations
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- CAD
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Data Engineering Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Oracle
- Informática
- ERP systems
- Seguro dental
- Seguro de la vista
Java Developer with Microservices and AWS Senior-Level
Globant —Ciudad de México, CDMX
- Inglés
- Java
- Experiencia en bases de datos
Senior Regional Revenue Operations Partner, LATAM
Geotab —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Customer Support Agent (Mexico - Credit Card Team)
Lendable —Ciudad de México, CDMX
- $12,600 a $25,200 por mes
- Trabajo híbrido
- Inglés
- Experiencia en operaciones bancarias
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
Senior Full Stack Engineer – Lab Connect
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- Experiencia en bases de datos
Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Product Data Specialist - Marketing,
OSRAM S.A. de C.V., Naucalpan, Mexico —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- SQL
Postulación rápida
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Oracle ERP Systems Engineer
Wisefind —Ciudad de México, CDMX
- Home Office (Desde casa)
- Oracle
- ERP systems
- Inglés
Postulación rápida
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
9d
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Data Architect / Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- SQL
- Licenciatura
Postulación rápida
10d

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Financial Operations Analyst

PayJoy -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 13 días

Cualificaciones

Informática
Mantenimiento
Inglés
Sistemas de información
SQL
Licenciatura
Estimación y pronóstico
Python

Descripción completa del empleo

About PayJoy

PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role

This role exists to build and own the financial-operations data foundation that PayJoy's business decisions depend on. The Financial Operations Analyst designs the canonical FinOps data models, unit economics, cost structure, margins, and pricing — that today do not exist in a consolidated form, and takes over the recurring operational load (reporting, reconciliations, and periodic closes) that is currently done manually. By establishing a single source of truth for the company's financial metrics and making the underlying pipelines reliable, tested, and automated, this role gives finance and business leaders trustworthy numbers to set the business baseline, monitor key KPIs, and make decisions and lays the groundwork for forecasting, budgeting, and pricing analysis at scale.

Key responsibilities

Design, build, and maintain the canonical FinOps data models (unit economics, cost structure, margins, and pricing) that do not exist today, so the business has consistent, reliable financial metrics to decide from.
Establish and document the single source of truth for the business's financial metrics, aligning definitions across teams so everyone reports from the same numbers.
Build and maintain data pipelines that integrate the relevant sources (ledger, payments/collections, billing, credit-origination platforms, cloud), so the financial models are fed complete and up-to-date data.
Implement data-quality tests and validations at the transaction level before models feed decisions, keeping the numbers behind business decisions trustworthy.
Automate the reporting, reconciliations, and FinOps processes that are manual today and own the operational cadence (periodic closes and recurring deliverables), reducing manual work and freeing the team for higher-value analysis.
Build, maintain, and evolve the metrics dashboards for stakeholders and handle ad-hoc data and financial-analysis requests from the areas that depend on FinOps.
Establish the business baseline and its ETA, define and monitor the key financial KPIs, and provide data support to forecasting, budgeting, and projection exercises.

Requirements

Education: Bachelor's degree in engineering, computer science, information systems, data, finance/accounting, or a related field, or equivalent practical experience.
Language and level of proficiency: advanced English.
Software and technical skills: advanced SQL and Python; analytical databases / data warehouses (Snowflake, Databricks, or BigQuery); ELT/ETL pipelines, incremental models, and historical loads.
Specialized knowledge: accounting/finance fundamentals (double-entry, clearing, reconciliation, accruals) and BI dashboard design and maintenance.
Experience: <=3 years in data / analytics engineering, ideally working with financial data.

Benefits

Local benefits depending on the country of hire
Company-funded health insurance for employee and immediate family
Company-funded employee life and disability insurance
Paid vacation days, unlimited sick leave
$2,000 USD annual Co-working Travel perk
$2,000 USD annual Professional Development perk
Phone finance, headphone benefit, home office equipment allowance and wellness perks
Catered lunches

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles

Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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