Analyst

Role Summary:
Develop advanced analytics and graph-based intelligence solutions to uncover patterns, relationships, and actionable insights for business and risk use cases.
Key Responsibilities:
Design and implement knowledge graph models and semantic structures.
Apply data mining techniques to detect trends, anomalies, and hidden links.
Build data preparation, enrichment, and validation pipelines.
Collaborate with engineering teams to produce models and graph services.
Communicate findings clearly to technical and non-technical stakeholders.
Ensure model/data traceability, quality, and governance alignment.
AI Skills for This Role:
Use LLM-assisted workflows for hypothesis generation and analysis acceleration.
Apply AI methods for graph reasoning, entity linking, and relationship discovery.
Evaluate model outputs critically for bias, drift, leakage, and reliability.
Use AI tools responsibly with strong data privacy and governance practices.
Required Qualifications:
5+ years in data science or advanced analytics.
Practical experience with knowledge graphs and semantic modeling.
Strong Python skills for analytics, modeling, and experimentation.
Solid foundation in statistics and machine learning.
Experience with complex, high-volume, or unstructured data.
English proficiency: professional working level or above (B2+/C1 preferred).
Nice to Have:
Experience with graph databases (for example Neo4j) and NLP.
Use cases in fraud, risk, compliance, or operational intelligence.
Familiarity with MLOps and production model lifecycle management.
Work model: Flexible / Hybrid - 2 days on-site at Tecnoparque / Toluca.
English proficiency is required for all roles.
Professional certification such as CA, CPA, CISA or CIA. 7-9 years of experience. Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines. Implement work management trackers, define roles & responsibilities of team members and roll out a work allocation / delivery plan to track completion
Work with onshore managers to agree on scope of work, key stakeholders, escalation matrices, project milestones & timelines
Design & Implement management information systems (MIS) for periodic status updates and to identify trends around business processes identified as high on risk / low on controls
Drive a culture of Risk and Governance across business processes. Institutionalize ethos of continuous improvement in risk management across all processes and sub processes in scope. Champion customer service to ensure that compliance is integrated in business processes
Demonstrate excellent project management skills, inspire teamwork and responsibility with engagement team members, and use current technology/tools to enhance the effectiveness of deliverables and services

Skills
Python, Machine Learning, NLP, LLM, Project Management, Risk Management

Work arrangement
Hybrid