Data Scientist Milano

Data Scientist
Milano
Lombardia, Milano

The team is responsible to complete targeted quantitative analyses and build advanced models across mainly the spectrum of Risk management, in order to guide the bank towards a more data driven knowledge and provide innovation processes throughout the bank.

In particular, with most common coding languages (e. g.

SAS and Python/R) with attention into Big Data architecture (AWS and PySpark), we develop, monitor and implement no-regulatory models mainly over the risk area (e. g.

scorecard, behavioural and propensity models, clustering, . . ).

**Educational Qualifications**:

- Academic degree (MSc), preferably in econometrics, engineering, statistics or mathematics.

**Experiences**:

- Minimum 3 years of hands-on experience in analytical services, quantitative modelling and/or validating oriented toward the banking sector.

- Practical experience with programming language such as Python, SAS, R and PySpark.

Experience in at least one of the following:

- Credit Decision Models

- Business Models (e. g.

Churn, Propensity)

- Clustering techniques

**Skills**:

- Demonstrated solid data handling skills.

- Strong foundation in statistics and machine learning

- Fluent written and spoken English

- Strong verbal and written communication skills

**Nice to Have**:

- Solid fundamentals in the areas of AWS, Data Lake Architecture, Ms Azure

- Personal public projects on github/gitlab/azure or similar

- Experience in Deep Learning

**Personal Characteristics**:

- Self-driven with the ability to figure out solutions by him or herself

- Ability to work collaboratively in a team environment.

- Must possess an energetic, self-motivated work ethic.

- Effectively communicate with many levels.

- Proven to perform under pressure.

- High ethical standards, honesty, integrity.

**Duration**: Permanent

**Location**: Milan (Hybrid)