Senior Analytics Consultant

Full-time

Employee Status: Regular

Role Type: Hybrid

Department: Analytics

Schedule: Full Time

Company Description:
Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence.

We have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We're looking for inspired employees that want to make an impact on people and business.

Why us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works. We like to strike a balance between how much time we spend on work and how much we keep for ourselves. And Experian Turkey is a Great Place To Work certified company!

We are looking for Senior Analytics Consultants to join our Experian Turkey Team!

The role requires that you have a strong background in machine learning and data mining. You will be a team player who is eager to both teach and learn on a daily basis, who is proactive and self-motivated and has excellent communication skills.

Key Responsibilities

• Serves as an analytical consultant for complex client deliveries/implementations.
• Lead/execute analytical projects from solution design and data integrity evaluation through solution documentation and implementation.
• Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied, as well as requirements for decision tool and strategy
• Interprets and present results of analyses, identifies trends and issues and recommends alternatives to support business objectives.
• Support the development of new analytical and data products and services, and the enhancement of current processes and offerings.
• Executes projects in support of the direct revenue goal for Experian Analytics, ensuring timely and high-quality deliverables.
• Work interactively with a team of highly trained and skilled consultants, project managers, statisticians, and analysts.
• Develop and maintain internal and external relationships.
• Support the senior management of the department to meet the established department goals.
• Be responsible for understanding the project’s requirements and for communicating them to more junior staff
• Prioritize workloads and provide mentoring and guidance to Data Analysts.

Qualifications:

• Significant experience (4-5 years at least) in the development of analytical projects in the field of credit and risk management, anti-fraud modelling and or Marketing.
• Deep knowledge of analytical techniques and decisioning process. Strong aptitude in credit decisioning, strategy setting, and gathering business requirements
• Knowledge and experience of regulatory-driven analytics (AIRB, IFRS9 etc.) and/or experience in development of machine learning models (especially applied to credit ,fraud and risk management) will be a major plus.
• Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Economics, Econometrics, Operational Research from top universities. Degree in Data Science is a plus.
• Ability to work independently and proactively. Problem solver who proposes innovative solutions, able to shape and define solutions matched to requirements.
• Strong communication and presentation skills.
• Strong personal motivation and commitment to results
• Strong knowledge of statistic and Machine Learning (clustering, regression, neural networks, SVMs, trees, and ensemble methods such as random forests and boosting etc. ) and how statistical methodologies are employed in model development
• Experience and proficiency in programming and data preparation (SAS, SPSS, SQL, Python ,R or similar).
• Established track record (at least four years) of delivering complex analytical projects
• Fluent in English and Turkish - both written and spoken with working proficiency

The following abilities and skills will be considered a further advantage:

• Working experience in ModelOps or DevOps process
• Working experience of minimum capital regulation (i.e. Basel AIRB) and/or of accounting regulation like IFRS 9 and how it is applied to products and services like those provided by Experian
• Working experience in Marketing Analytics
• Previous experience in analytics on Big Data platforms (e.g. Cloudera, Databricks) and related programmi