ANALYTICS CONSULTANT

Role Summary

Reports directly to the Analytical Consulting Manager and collaborates closely with the analytical model development professional, the Advanced Analytics team, business consulting, business development, the commercial area, project management and technological platforms. Has direct exposure to both internal and external clients and acts as a bridge between business, regulation and analytics. He is responsible for projects from start to finish: understanding of the need, data preparation, data evaluation, methodological design, development, validation, documentation, presentation, transfer (training), implementation, validation and certification of statistical models.

Among the purposes of the position are

ü Accompany our clients in the development of customized analytical solutions such as developing, calibrating, validating and monitoring expected loss models, scoring models, segmentations, personalized studies, decision policies, macroeconomic projections, provisioning systems and other analytical needs that the entities associated with Experian present on a day-to-day basis.

ü Guide, develop and validate the developments made by the factory's collaborators aimed at providing solutions to various needs around the credit cycle (origination, maintenance and collection) of our clients, from a critical point of view in analytical terms and business knowledge depending on the type of project assigned.

ü Implement control mechanisms in each phase of development to ensure the quality of deliverables, whether in internal review processes or in interactions with clients. For example, quality checks on data, assumptions, code, results, documentation and presentations; ensuring reproducibility, traceability and coherence between deliverables.

ü Propose regional methodologies and generic products, accompanying the development and maintenance so that all statistical and business assumptions are validated for the good performance of the solutions in accordance with their market, guaranteeing the acceptance of our clients.

ü Generate innovative, explainable, stable and implementable analyzes that support business decisions and consolidate the specialist as a technical and consultative reference for the team that generates value for the organization and its clients.

ü Integrate, in accordance with organizational policies, artificial intelligence tools to improve productivity, drive innovation and strengthen the quality of analysis, programming, documentation, automation and preparation of deliverables; involving professional judgment, methodological, legal, compliance and applicable risk controls.

Responsibilities

• ü Direct, develop, validate, calibrate and monitor generic or custom analytical solutions ensuring the quality and accuracy of the deliverables. For example, expected loss models, provisions, macroeconomic prospective, origination, portfolio management, collection, recovery and fraud.
• ü Design statistical, econometric or machine learning methodologies appropriate to the problem, justifying assumptions, variables, metrics, samples, horizons and applied treatments.
• ü Preparation of strategic deliverables aligned with the client's objectives and aimed at decision-making together with the Experian team and its clients.
• ü Presentation of results in person or virtual mode to technical, business and managerial audiences, translating quantitative findings into actionable implications and recommendations; ensuring clear, professional communication aligned with company standards.
• ü Ensure compliance with delivery times to our clients while maintaining quality standards.
• ü Ensure technical reviews and controls on data consistency, calculation logic, code, results, documentation and traceability between inputs and estimates (outputs).
• ü Collaborate in the construction of various generic products that have a high statistical load.
• ü Lead and guide the development team in the construction of analytical solutions, promoting the transfer of knowledge and the application of effective methodologies.
• ü Simultaneously manage projects and requirements from different contexts, prioritizing activities and adapting solutions without losing regional methodological consistency.
• ü Innovate in the use of new statistical methodologies that allow better indicators in the different statistical models that are developed.
• ü Automation of repetitive processes and build reusable components to optimize delivery times and improve the quality of deliverables offered to our clients.
• ü Sufficiently document methodological decisions, limitations, risks of use, results, recommendations and future work so that the solution can be reproduced, audited, maintained and improved.

ü Manage and make responsible use of artificial intelligence tools to support the development of analytical projects in accordance with the organization's current policies and guidelines on artificial intelligence. This includes the protection of personal, confidential and restricted information, maintaining human supervision and validation, ensuring traceability of its use, evaluating the accuracy, relevance and possible bias of the results.

Requirements

Ratings

Professional in statistics, computer science, mathematics, actuarial science, economics, finance, industrial engineering or related areas with solid training in statistics, probability, econometrics and data analysis; as well as basic knowledge in finance or financial risks. Specialization or master's degree in statistics, data science, econometrics, financial risks, quantitative finance or related fields is an advantage.

Experience of at least three years in analytical areas oriented to credit risk, financial services or analytical consulting. Must demonstrate participation in the development, validation and monitoring of statistical and machine learning models, in the preparation of deliverables for clients and simultaneous management of activities.

Intermediate-high programming level in Python; basic elements in SQL, Spark, R Project or Julia. Knowledge of supervised and unsupervised models such as: time series, clustering, segmentation, regression, decision trees, classification techniques, machine learning, model validation and monitoring. Experience in data quality, testing, version control, automation and visualization.

Knowledge of the credit cycle, financial products, delinquency analysis, harvests, transition matrices, recoveries, expected loss, accounting or regulatory provisions, macroeconomic prospective, model governance and data protection. You must have the ability to understand and apply regulatory particularities of different sectors, contexts and countries in Latin America.

Management and teamwork, ability to execute several projects at the same time, excellent effective communication skills (oral and written), critical thinking, quantitative rigor, consultative orientation, business understanding, project management, prioritization, autonomy, negotiation, functional leadership, self-management, compliance and opportunity, negotiation with clients and stakeholders, mentoring, result orientation with high quality standards.

Intermediate English: B2 and up

Benefits

Our uniqueness is that we celebrate what makes us different. Experian's culture and people are key differentiators. We take our people agenda seriously and focus on what really matters: DEI, work-life balance, development, authenticity, engagement, collaboration, well-being, reward and recognition, volunteering... the list goes on.

Experian's strong people-first approach has been awarded: Great Place To Work™ in 24 countries, FORTUNE Best Companies to work, and Glassdoor Best Places to Work (globally 4.4 stars), to name a few. Take a look at Experian Life on social media or our careers site to understand why.

Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a fundamental part of Experian's DNA and practices, and the diversity of our workforce drives our success. Everyone can succeed at Experian and contribute their all regardless of gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodations, please let us know as soon as possible.

• Experian Careers - Creating a better tomorrow together
• Find out what it's like to work for Experian by clicking here

About the Company

Experian is a global data and technology company that powers opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics, and software. We also help millions of people achieve their financial goals and help them save time and money.

We operate in a variety of markets, from financial services to healthcare, automotive, agribusiness, insurance and many other industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 company, listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters is in Dublin, Ireland. Learn more at experianplc.com.