Quick Summary
Familiarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desireddata requirements· Reviewing the code to spot any potential issues,
Familiarizing with data, to conceptualize its use. Transform data sets, quantitative and qualitative analysis into desired
data requirements
· Reviewing the code to spot any potential issues, which might have probability of having cascading future effects like
identify trends and patterns in the data or identify anomalies such as missing or incomplete values etc.
· Code automation & optimization and replacing referential user data with tech managed data platforms
· Create robust and auditable documentation
· Understand the data's audience and purpose and liaising with the data consumers, for mutual use of data to reduce time
to market
· Recommending strategy through testing or exploratory data analysis
· Hands on working experience in SAS/ Python (3+ years)
· Should be familiar with data wrangling concepts like, cleaning, organizing, and transforming raw data into the desired
format
· Experience working with Global Banks in their Risk & finance function
· Basic knowledge of programing languages like SQL & Python
· Dataiku knowledge would be an added advantage
· Should have good communication skills
At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by
all their initiatives, from the smallest to the most ambitious.
Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on
the future. Creating, daring, innovating and taking action are part of our DNA.
If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and
develop or strengthen your expertise, you will feel right at home with us!
Location & Eligibility
About this job
- Who can apply
- Mexico
- Posted
- Today
Listing Details
- First seen
- October 21, 2026
- Last seen
- October 21, 2026
Posting Health
- Days active
- -1
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- October 21, 2026
Signal breakdown
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