Bolsa de Trabajo y Becas

At Stripe, our Mexico City office is a vibrant hub at the forefront of our mission to reshape the financial landscape for businesses worldwide. Our team prioritizes collaboration, innovation, and excellence. As a member of the Mexico City team, you'll be part of a mission-driven community dedicated to enhancing the global economy and increasing the GDP of the internet. We strive for excellence by creating with craft and beauty, while having fun and celebrating our successes together.

Responsibilities

• Troubleshoot and solve complex problems
• Analyze our processes and instigate changes to help scale our operations and improve user experience
• Work closely with other Stripe teams across the globe
• Gain unique insights into how thousands of businesses on Stripe scale and operate
• Have an opportunity to learn how Stripe operates from the ground up and make a real impact on the future of the organization

Preferred qualifications

• You have experience navigating the nuanced complexity of financial systems and solving large-scale, technical challenges.
• You have experience identifying and triaging technical issues.
• You have Python or Scala knowledge.

Grandata, a Silicon Valley-founded startup recently acquired by Evertec, develops innovative solutions at the intersection of artificial intelligence, data, and privacy. We operate globally, creating data monetization platforms that deliver value for individuals and businesses alike. Leveraging advanced research in Human Dynamics, we empower enterprises to analyze market trends and predict customer behaviors.

ROLE OVERVIEW

This is a full-time, remote role for a Senior Data Scientist. You will be responsible for designing and implementing data models, conducting complex statistical analyses, and generating actionable insights through advanced data analysis and visualization techniques. This role involves collaborating with cross-functional teams to drive innovative solutions that align with the company's data-driven initiatives and goals.

KEY RESPONSIBILITIES

• Machine Learning: Train and implement machine learning models leveraging Grandata’s Human Dynamics feature set.
• Client Engagement: Work closely with Grandata's customers to design machine learning solutions tailored to their operations.
• Feature Engineering: Strategize and create impactful feature sets to drive ongoing enhancements in performance.
• Platform Integration: Contribute to the integration of machine learning algorithms into the Social Universe Platform.
• Cross-Functional Collaboration: Partner with data engineering teams to enhance and optimize data pipelines.
• Research & Innovation: Explore and pioneer cutting-edge modeling methodologies, particularly emphasizing advancements in foundational models across both sequential and relational modalities.

QUALIFICATIONS

• Experience: At least 4 years of applied industry experience.
• Education: Bachelor's degree in Mathematics, Computer Science, Actuarial Science, or a related quantitative field.
• Machine Learning: Gradient Boosting, Bayesian Optimization.
• Python: pandas/polars, numpy, scikit-learn, matplotlib.
• PySpark: SQL & DataFrame, MLlib, GraphFrames.
• Deep Learning: PyTorch, Transformers, Graph Neural Networks (GNNs).
• Communication: Strong communication skills with the ability to translate complex technical concepts into business value for clients and non-technical stakeholders.

NICE-TO-HAVES

• Master’s or Ph.D. in Computer Science, Statistics, Data Science, or a related field.
• Experience working with Telco datasets such as CDRs.
• Experience training and implementing credit risk models.
• Experience in distributed training for deep learning models.
• Expertise in Graph Theory.

• 100% home office
• SGMM privado.
• 2 viajes de off-site al año

Manda tu CV a Gabriel Larrea: gabriel.larrea@grandata.com 

Analista Inversiones Pensiones

Si te interesa el análisis financiero, los mercados y la toma de decisiones basada en datos, esta oportunidad es para ti.

Funciones principales

• Apoyar en la ejecución de estrategias de inversión (compra/venta de valores).
• Dar seguimiento a portafolios y métricas financieras.
• Analizar información de mercados y desempeño de activos.
• Construir herramientas en Excel, R o Python para automatización.
• Preparar información para reportes y comités.
• Colaborar con equipos de inversión, riesgos y finanzas.

Perfil requerido

• Licenciatura en Actuaría o Matemáticas.
• Recién egresado o perfil junior con alto potencial analítico.
• Excel avanzado (tablas dinámicas, bases de datos, VBA).
• Conocimiento en R y/o Python.
• Interés en mercados financieros, pensiones e inversiones.
• Bases en matemáticas financieras.
• Inglés intermedio/avanzado.

Prestaciones

• Sueldo competitivo y prestaciones superiores de ley.
• Seguro de Gastos Médicos y Vida.
• Fondo de Ahorro, Reparto de utilidades y más..

Comparte tu CV a astrid.cortes@profuturo.com.mx 

Risk Modeling Analyst Intern

Do you want the opportunity to gain real-world experience in risk modeling through an internship program? As a Risk Modeling Analyst Intern at GE Vernova, you will have the chance to work in an international environment, support different risk and financial functions, and explore which area best fits your interests while contributing to key business projects and challenges.

Key Responsibilities

• Receive technical training, mentorship, and coaching from an experienced team
• Expand your knowledge of Multi-Year Agreement policies, modeling procedures, and business forecasting standards
• Review, update, and analyze complex financial and operational models for multi-year service agreements signed between the Gas Power business unit and customers
• Partner with Operations and Finance teams to review financial performance against budget and update projections for each contract
• Support and implement simplification initiatives to accelerate contract analysis and reduce low-value activities in the contract review process

Candidate Profile

• Strong analytical skills
• A background in Finance, Data Science and Analytics Engineering, or related fields
• Academic or personal projects that demonstrate analytical ability
• Good time management and the ability to meet deadlines
• Strong organization skills
• Proficiency in Microsoft Office, especially Excel
• Knowledge of pivot tables
• Ability to work with autonomy
• Good communication skills
• Curiosity
• A proactive mindset

Preferred Experience and Skills

• Data review, understanding, and reconciliation
• Processing and analyzing information
• Working cross-functionally with different teams
• Synthesizing results and presenting findings clearly
• Exposure to processing and lean manufacturing

Additional Requirements

• At least one year remaining before graduation
• Availability to work in a hybrid model
• Availability for a full-time internship, with flexibility according to school schedule