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.
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.