Cyber Data Scientist, BIS - Associate

In Asia Pacific, BNP Paribas is one of the best-positioned international financial institutions with an uninterrupted presence since 1860. Currently with over 18,000 employees* and a presence in 13 markets, BNP Paribas provides corporates, institutional and private investors with product and service solutions tailored to their specific needs. It offers a wide range of financial services covering corporate & institutional banking, wealth management, asset management, insurance, as well as retail banking and consumer financing through strategic partnerships.

Worldwide, BNP Paribas has a presence in 68 markets with more than 193,000 employees. It has key positions in its three main activities: Domestic Markets and International Financial Services (whose retail-banking networks and financial services are covered by Retail Banking & Services) and Corporate & Institutional Banking, which serves two client franchises: corporate clients and institutional investors. Asia Pacific is a key strategic region for BNP Paribas and it continues to develop its franchise in the region.

BNP Paribas offers you an exciting career in an international business environment that is fast-paced, diverse and focuses on creating high-value relationships with our clients. We offer competitive salary and benefits, as well as a working environment where you’re valued as part of the team.

• excluding partnerships

https://careers.apac.bnpparibas/

Position Purpose

BNP Paribas has a presence in nearly 80 countries with more than 180,000 employees. It ranks highly in its three core activities: Retail Banking, Investment Solutions and Corporate & Investment Banking.

In Asia Pacific, the BNP Paribas Group is a leading employer with 9,000 employees* and a presence in 14 markets. Being one of the largest international banking networks, we strive to employ talented and innovative people who are aligned to our vision and culture.

• Corporate & Investment Banking and Investment Solutions divisions (excluding partnerships)

As part of the Control Framework team, The Data Scientist will collect, research and develop effective and efficient controls for BNP Paribas business and métiers to help them detect e-frauds threats on their respective perimeters. The e-fraud controls will support the BNP Paribas business teams to setup proactive posture against the change of cyber threats technics. The successful candidate will work within the Control Framework team and collaborate with APAC Cyber Security teams and with compliance, legal, Operational Risk Controls.

Responsibilities
 Build Analytics framework for e-fraud to deliver adapted controls to the APAC BNP Paribas métier and business such as: Compliance, Legal, Operational Risk Control
 Understand E-fraud requirements and regulatory guidelines in order to translate them into use cases for efficient and effective threat identification.
 Progressively build a data inventory for E-fraud detection and describe data life cycles for all businesses and métiers
 Work closely with Cyber Security teams to understand the E-fraud technics to elaborate the adapted countermeasures to detect the E-fraud threats
 Configure, test and implement Behavior Analytics models to monitor transactions on e-payment systems
 Develop recognition analytics controls for CCTV to identify premises breaches as a vector of the E-fraud
 Main interfaces including Production Security, Cyber Threat Intelligence, Cyber Security Incident Response Team, Digital Risk & Security Risk Management, Business IT, Legal and Compliance, ORC.

Contributing Responsibilities

 Contribute to the Permanent Control framework for implementation of policies and procedures in day‐to‐day business activities, such as Control Plan.
 Comply with regulatory requirements and internal guidelines.
 Contribute to the reporting of all incidents according to the Incident Management System

Technical and Behavioral Competencies / Specific Qualifications (if required)

• At least 3 years of experience as Data Analyst preferably in Banking Industry control teams
• Excellent interpersonal and communication skills
• Knowledge in machine learning and data engineering with experience in implementing solutions managing large amount of data
• Ability to propose innovative ideas or solutions
• Knowledge sharing and guidance for other analyst/data science
• Takes initiative and is results driven
• Strong decision making and analytical skills
• Ability to manage change and complexity with confidence
• Experience with fraud detection on payment systems is a plus
• Experience with recognition analytics controls on video is a plus
• Client focused and commercial thinking
• Self-motivated and genuine interest in Banking and Finance
• Proficiency in Microsoft office (MS Word, Excel & Power point)
• Knowledge of big data solution, database scripting skill, Python, Kibana, Hadoop, Spark is a plus
• Strong team player