Job description

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.
  • excluding partnerships

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.

https://careers.apac.bnpparibas/

Position Purpose

The APAC GM & ALMT IT TP Engineering group runs Trade Processing and Regulatory Projects for Global Market and ALMT business and operations.

Responsibilities
  • Partner with senior business sponsors, platform supervision, compliance, and business management to enhance and augment the holistic supervisory and surveillance platform.
  • Investigate and analyze data on the surveillance platform as key input to enhance existing data strategy on multi-vector analysis using various natural language processing and machine learning techniques.
  • Primary focus is to investigate and analyze available structured and un-structured information, apply data mining techniques, perform statistical analysis, and provide methods (algorithmic and technical) to create actionable alerts and reduce false-positives.
  • Develop and enhance software solutions to meet business requirements such as eCom ingestion scripts and data management processes.
  • Gather and document technical requirements and specifications.
  • Attend regular meetings and interface with internal and external teams related to the project.
  • Work with the project PM and delivery manager to provide input on schedules and implementation best practices.
  • Work on multiple tasks and respect aggressive schedule.


Technical and Behavioral Competencies / Specific Qualifications (if required)

a) Technical Competencies
  • Advance knowledge and experience on Python language a minimum of 5 years working experience.
  • Advance knowledge and expereince of Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, Lucene and comparable stacks.
  • Advanced expertize of SQL systems, with at least 5 years expertize developing in Oracle, Microsoft SQL Server, PostgreSQL, MySQL.
  • Knowledge of JAVA, J2EE, JavaScript, JSON, Perl, SQL, and PL/SQL would be a plus.
  • Knowledge of NoSQL systems such as Cassandra, CouchDB, MongoDB, Elastic search is a plus.
  • Knowledge of Cloud Computing (AWS, Azure, Google), data visualization and analytics tools.
  • Basic understanding of project lifecycle stages – Requirements Gathering to Post Implementation.
b) Behavioral Competencies
  • Ability to manage conflicting requests on time in a continually fast moving environment and operate as a key team member of a global team.
  • Must be a self-starter with attention to detail and strong communications (written and oral) skills.

Preferred qualifications:

  • Experience with Front Office, Compliance, Operations, and IT support teams in a Capital Markets domain by developing client centric solution and working with vendor product implementations.
  • Experience with machine learning, natural language processing, AI, or robotics is a plus.
  • Fluent in English.
Qualifications and Experience
  • Master’s degree in engineering, math, statistics, physics or other technical field.

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