Senior Analytics Consultant Venezia

Senior Analytics Consultant
Venezia
Veneto, Venezia

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

We help to 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 assist millions of people to realise their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data.

As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22, 500 people across 32 countries.

Our corporate headquarters are in Dublin, Ireland.

Learn more at experianplc.comJob DescriptionYou will be part of a very dynamic and fast-growing Analytics team in Italy and you will develop analytical solutions to the benefit of our clients' and their customers. The role holder must have experience (4-5 years at least) in the development of analytical projects in the field of credit risk management, anti-fraud modelling or Marketing.

Experience in regulatory-driven analytics (AIRB, IFRS9) or experience in development of machine learning models (especially applied to credit and fraud risk management) will be a major plus. Consultancy and AnalyticsManage a team of analytical resources (Consultants Jr. Consultants, Analysts) in the development analytical solutions for different clients, specially in the financial sector – this includes the development of statistical models and ad hoc data analysisUnderstand the project's requirements and for communicating them to more junior staffEnsure that project deliverables are accurate and meet project scope and goalsQuestion results through applied intelligence in a proactive way and interpret them into conclusions and recommendations to clientsPresent the project results to clients or to more senior members of ExperianPre-sales and Sales supportParticipate in pre-sales and sales meetings with clients and prospects to describe and position Experian's analytics projects and propositions and to adapt it to our client's needsProject ManagementPlan, organize and complete project work to meet team commitments within agreed timescalesQualificationsDegree in quantitative subjects (e. g.

mathematics, economics, statistics, engineering, or physics)Technical and analytical skillsGood experience designing and implementing credit risk modelsKnowledge of statistics and how statistical methodologies are employed in model developmentGood knowledge of one or more of other major statistical packages (e. g.

Python, SAS, WPS, SPSS, or R)Established track record (at least four years) of delivering complex analytical projectsFluent in English – both written and spoken with working proficiencyAdditional InformationOur 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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