V.I.E. Associate Data Scientist

1. Role Description

1. Conduct data quality checks and exploratory analysis
2. Write code to automate data extractions and timely communicate any roadblocks or challenges to the Management
3. Participate in standup meetings and take proactive initiatives for the team
4. Process, cleans and verify the integrity of data used for analysis
5. Job Description

1. • The task includes ability to scan the tool thoroughly following the SAS rules, raise alerts, optimize these scenarios, reduce false positives etc.
2. • Ability to communicate his or her analyzes, especially by using visualization tools in a clear way with decision orientation
3. • Strengthening the regulatory and accounting requirements relating to the supervision and monitoring of risk models and the resulting issues
4. • Participate in the development and / or evolution of statistical models and machine learning applied to Financial Security
5. • Will be responsible for conducting an internal model review and calibration as well
6. • Produce and analyze model performance indicators
7. • The Data Scientist will support our software developers, database architects, data analysts and data engineers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
8. • They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives

1. Mandatory Skills

1. • Python/R for data quality and exploratory analyses
2. • Basics of data / modular programming
3. • Experience with identifying trends, patterns, and outliers in data

Profile required

PLEASE NOTE that since this program is primarily an international development program, candidates cannot apply to a VIE assignment in their own country of citizenship.

To facilitate the examination of your application by our English-speaking managers, we thank you for applying in English.

Studies & experience:

1. Graduate with a Master’s degree from a Business/Engineering School or University with a specialization in Mathematics or Statistics
2. A previous experience in data science projects would be appreciated
3. Experience in observing and identifying trends, patterns and outliers in data

Language skills:

1. Fluent in English

Technical, operational & soft skills:

1. Proven working knowledge of Python/R and basic knowledge of data/modular programming
2. Proficient/Good command of MS Office
3. A quick learner with passion towards the subject
4. Good communication and presentation skills