Analyst

Posted 3 Days Ago
Be an Early Applicant
Ciudad de México, MEX
Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Develops advanced analytics and graph-based intelligence solutions to identify patterns, anomalies, relationships, and business or risk insights. Responsibilities include designing knowledge graphs, building data preparation pipelines, applying machine learning and AI methods, validating model outputs, and ensuring data governance. The role also coordinates operational delivery, risk management, project milestones, reporting, and continuous improvement while collaborating with engineering teams and business stakeholders.
Summary Generated by Built In

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.

ResponsibilitiesPlan, 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 QualificationsProfessional certification such as CA, CPA, CISA or CIA. 7-9 years of experience. About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.


EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

  • 5+ years of experience in data science or advanced analytics
  • 7–9 years of professional experience
  • Practical experience with knowledge graphs and semantic modeling
  • Strong Python skills for analytics, modeling, and experimentation
  • Strong foundation in statistics and machine learning
  • Experience working with complex, high-volume, or unstructured data
  • Professional working English proficiency or above; B2+/C1 preferred
  • Professional certification such as CA, CPA, CISA, or CIA
  • Experience with graph databases such as Neo4j and NLP
  • Experience in fraud, risk, compliance, or operational intelligence use cases
  • Familiarity with MLOps and production model lifecycle management

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

EXL Insights

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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