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Senior Data Scientist (Financial Crime Prevention)

SEB

  • Warszawa, Masovian
  • offer expired 2 months ago
  • contract of employment
  • full-time
  • senior specialist (Senior)
  • hybrid work
  • Immediate employment
  • CV is not required by the employer
  • remote recruitment
  • Specializations:Agile, Big Data / Data Science

SEB

Żelazna 51/53

Wola

Warszawa

Technologies we use

Expected

  • Python

  • Spark

  • SQL

  • Cloud

  • GCP

  • MlOps

Operating system

About the project

The recently established Financial Crime Prevention (FCP) function will further accelerate SEBs deployment of advanced financial crime prevention capabilities to continuously meet regulatory expectations and to become a leader in fighting financial crime. Financial Crime Prevention (FCP) function encompasses the areas of Fraud Prevention, AML transaction monitoring, sanctions and customer screening. It is evident that fighting financial crime need to have an intelligence-led and data-driven approach where advanced data and analytics techniques will be core components of our FCP effort.

As such we are establishing an Advanced Analytics department within FCP to grow these capabilities and we are now looking for a technical lead to build out our graph analytics capabilities. You will work together with the data science and data visualization team as well as IT to integrate graph analytics into new and existing processes.

Your responsibilities

The FCP function is one of the largest consumers of data within SEB including customer, transaction, and product data, and where good data management is critical. Combining statistics, reports, exploring data and being able to visualize results are becoming increasingly important

As a Senior Data Scientist you will work on how data science and analytics can be used for generating models or red flag indicators as well as how it can be used as part of financial crime investigations.

The role will be based in Warsaw

Our requirements

  • MSc or PhD degree in quantitative topics such as computer science, engineering, mathematics, physics or quantitative finance/economics

  • Fluency in English

  • Several years of experience working as a data scientist as a lead

  • Good programming skills in Python, Spark, complex SQL queries to analyse data

  • Experience with analysing massive data sets and has worked with cloud technology especially GCP

  • A deep understanding of the theoretical foundations behind classical and recent machine learning models and algorithms

  • Familiarity with different ML frameworks such as TensorFlow

  • Familiarity with MlOps

  • Strong interest in financial crime prevention

This is how we organize our work

This is how we work

  • in house
  • agile

Team members

  • data scientist

Development opportunities we offer

  • assistance in preparation to public speeches

  • external training

  • industry-specific e-learning platforms

  • intracompany training

  • soft skills training

  • time for development of your ideas

What we offer

SEB offers an attractive and international environment where we strive to adapt to agile and modern ways of working. You will work side by side with experienced colleagues from different parts of the organization and get the chance to build strong network internally as well as externally.

It is our fundamental belief that inclusion and diversity are crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected, and involved irrespective of who they are, what they believe and where they come from.

SEB promotes a flexible and healthy work culture. We recognize that the wellbeing of our colleagues is closely related to our ability to have fun and perform together.

Our benefits include health insurance for you and your family, life insurance, individual pension

fund, sports package, trainings as well as top-notch office and great coffee.

Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • remote work opportunities

  • integration events

  • retirement pension plan