You will be part of a very dynamic, highly motivated and fast-growing Analytics team in Turkey and will develop analytical solutions to the benefit of our clients' and their customers.
The role holder must have significant experience (5-6 years at least) in the development of analytics and data science projects in the field of credit life cycle, risk management, anti-fraud modelling and/or marketing & CRM. Knowledge and experience of open banking and transactional data analytics will be a major plus.
Key Responsibilities
- Design analytics solutions to client's problems in any area of customer life cycle and analytics, using Experian analytics solutions to match best practice – this includes hands-on delivery of data science related contents like development of analytical models and ad hoc analysis, tracking model performance, incident resolution (low accuracy troubleshooting, mis-categorization issue analysis), productionization of developed models, documentation, etc.
- Engage in a consultative way with the client, to identify problems and define, design and deliver analytics solutions, with a particular expertise in machine learning modelling and/or optimisation techniques.
- Present proposals to clients for analytics solutions, including recommendations.
- Provide consultancy on the potential 'bigger picture' strategies.
- Regularly present to clients to ensure they understand the functionality and benefits of Experian's products in solving business problems.
- Support the analytics team members on in the development robust analytical solutions for different clients
- Develop and maintain strong relationships with key client contacts.
- Co-ordinate with Experian's Sales team to contribute to sales opportunities and support the conversion of sales prospects especially for the transactional data analytics opportunities but not limited to this
- Participate in pre-sales and sales meetings with clients and prospects to describe and position Experian's analytics propositions and to adapt it to the specific client's needs
- Develop and maintain strong relationships with key client contacts.
- Plan, organize and complete project work to meet team commitments within agreed timescales
- Take responsibility for prompt resolution of both internal and external queries and questions.
- Lead the development of the client solutions for the area of open banking and transactional data analytics mostly.
- Build sufficient knowledge of clients' values and business model to ensure our solutions fully meet their needs.
- Take responsibility for the quality of the project deliverables, for the project work meeting client/customer objectives and being delivered to schedule and within budget.
- Degree or equivalent standard, with a high numeric content e.g. Engineering, Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
- 6+ years of work experience in analytics, ideally with at least 3 years' experience in consultancy.
- Good knowledge and experienced in business unit products and operations especially in Banking and Telecommunications sectors (i.e. Credit Lifecycle, Open Banking, Marketing Analytics, Risk Analytics, Regulations, etc.)
- Expert knowledge of a broad range of analytical methodologies and their use in solving business problems
- Proven experience of managing and delivering high quality analytics projects.
- Solid hands-on experience in data science and machine learning modelling with Python
- Experience with deep learning and other advanced modelling approaches to extract and automate insights from data.
- Proven ability to shape and define large, complex solutions to meet client requirements
- Ability to cope and deliver excellent results in a high-performance environment.
- Experience in achieving and being tracked on project financials is a plus
- Fluency in written and spoken English
The following qualifications and skills will be considered a further advantage
- Previous experience in analytics on Big Data platforms (e.g. Cloudera, Databricks) and related programming frameworks (e.g. Apache Spark)
- Fluency with statistical significance tests and Monte Carlo simulation.
- Knowledge in container-based deployment technologies (Docker and Kubernetes) and Exposure to Linux
- Experience with DB technologies (PostgreSQL, MongoDB, etc.) and with CI/CD process development
What do we offer
You will become manager of a highly motivated team with a pleasant working atmosphere, prestigious clients and an international environment. There will be opportunities to share your knowledge with other Experian colleagues across Europe. The role also provides a great opportunity to develop your skills and reap the rewards of your work. We offer an attractive and competitive wage package.
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; 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. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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