Nasıl hesaplanır?
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Son iş deneyimin, geçmiş deneyimlerin ve toplam deneyimin uygunluk puanını etkileyen kriterler arasındadır.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Mesleki Yeterlilikler
Şirketlerin ilanda belirlediği kriterlerle özgeçmişindeki bilgilerin ne kadar uyumlu olduğu içerik karşılaştırılmasıyla bulunur.
Bu iş sana uygun olmayabilir

Seçili özgeçmişindeki bilgilerle bu ilanın kriterlerleri sadece %30 uyumlu.

Uygunluğunu nasıl hesapladık?
Diğer Bilgiler

QUALIFICATIONS AND JOB DESCRIPTION


Job Description:

  • Analyzing available data to determine relationships, trends, and issues. Provides consultation and clarification on actuarial models and risk issues
  • Participating in the development of business recommendations and analysis of strategies
  • Analyzing data for the development of rates, rating plans, pricing strategies, reserve programs, financial forecasts, and responses to insurance regulators
  • Implementing impact analysis in order to see whether model changes
  • Coordinating, preparing and performing actuarial analyses to assist in the development of complex actuarial formulations leading to the recommendation of pricing strategies and loss reserving
  • Working within the squad to prepare the actuarial response and communication for results of product management areas
  • As an squad member being responsible of creating data sets in order to create the healthy environment for modelling and impact analysis
  • Pricing modelling on GLM, per renewal, new business and product basis, updating modelling on semi-year
  • Creating dashboards to evaluate the performance of technical modelling
  • Following up new trends in terms of technology and tools and make sure to apply if the technique is necessary
  • Being responsible for the results of bottom line technical modelling


Qualifications:

?

  • B.A. or B.Sc. degree from a reputable university in engineering, mathematics and statistics or similar background requiring modeling, programming or quantitative analysis
  • Good knowhow of GLM (expertise ding Radar/Emblem)
  • Sas E-Miner is preferred
  • Minimum 2 years pricing experience is required
  • Understanding of machine learning techniques and algorithms, such as Random Forests, GBM, Neural Network etc
  • Used to agile methodology
  • Conduct portfolio optimization to maximize profit or retention regarding pricing strategy
  • Fluent in English
  • Very good command of MS Office applications
  • Strong analytical and problem solving skills
  • Good command of communication skills
  • Self – motivated, be a first responsible of end-to end job delivery
  • Proven ability to work in a team-environment and service internal clients, set up projects proactively
  • Able to work dynamic and flexible environment
  • Result oriented
  • An emphatic person having customer first mindset
  • Proven customers first mentality

PREFERRED CANDIDATE

POSITION INFORMATION

Firma Sektörü:

Sigortacılık

Çalışma Şekli:

Haftaiçi 09.00 - 18.00

Sosyal / Yan Haklar:

Özel Sağlık Sigortası
Servis
Yemekhane
Kaza Sigortası
Hayat Sigortası
Bireysel Emeklilik

Çalışan Sayısı:

550-649