SCIB Quant Data Analytics & Models Specialist SCIB is looking for a Quant Data Analytics & Models Specialist, based in our Boadilla del Monte office.
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY
At Santander CIB (www.santandercib.com), we are key players in the transformation of the financial sector. Do you want to join us?
Santander Corporate & Investment Banking (SCIB) is Santander's global division that supports some of the world's most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.
Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability. Our mission is to contribute to help more people and business prosper.
We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.
WHAT YOU WILL BE DOING
As a Quant Data Analytics & Models Specialist, you will help us in different fronts:
Improvement and support of a Distributed Calculation Engine for metrics, sensitivities and FMtM of XVA.
Engine performance and tuning evaluation. Improving existing tools to monitor and identify bottlenecks of the current solution. (On-prem/cloud)
Collaborate to understand and identify the data required to do the calculations in the XVA engine. Collaborate to define the most accurate data modeling in terms of consistency, scalability and efficiency.
Collaborate on CI/CD automations, testing and data validations.
EXPERIENCE
Between 2-10 years of experience in relevant fields
EDUCATION
Ph.D /MS in Computer Engineering and/or Telecommunication
SKILLS & KNOWLEDGE
Team player
Excellence in analysis, problem solving and summary communication
Proactive
Positive with a critical mind
Fluent English written and spoken; Spanish is desirable
Programming Paradigms: Object-Oriented, Concurrent / Multithreading
Programming Languages:
Must have: C/C++, Java, Python
Desirable: Rust, Shell, VBA, Dash
Software architectures: High performance Computing paradigm, Distributed Grid Computing, Pipelines, Micro services, Predictive analysis
Operating Systems: GNU/Linux, Windows
Database:
SQL is a must for relational databases
Experience in at least one: Oracle/MSSQL/MariaDB/PostgresSQL
Document Oriented Database: Experience in MongoDB
Desirable: Columnar Databases, NoSQL, Graph Database: Experience in at least one, Oracle Graph/Neo4J
Basic Math:
Graphs & Linear Algebra
Desirable: Montecarlo Simulation & Stochastic Process, Differentiation
Compiler Construction:
gcc, ms visual studio
Desirable Cloud Technologies: Azure, AWS
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