Data Analytics Officer Trainee

About The Job

• The position is a Data Officer Analytics Trainee role within RISK Market & Financial Institutions (“RISK MFI”) dedicated to the development and industrialization for the Valuation Model Risk team. The RISK MFI Valuation Model Risk (VMR) team is the RISK team responsible for the second line of defense on valuation models within Global Markets. This therefore includes independent review and control of all models used for the generation of official daily P&L and risks. The team furthermore acts as a center of quantitative expertise within RISK MFI. Within the work of the VMR team, multiple tools and python scripts are used for monitoring, investigation and analysis. The industrialization and robustness of these tools and scripts are needed to reduce time and operational risk on the work delivered by the team.
  
  

This internship is particularly suited for a student or fresh graduate that has good python programming skills and is interested in developing skills in financial mathematics or stochastic calculus.

We are looking for a profile who can rapidly develop knowledge into the internal tools used to extract information and awareness of the work done by the team.

The role requires agility to onboard oneself onto new topics to support the team on their projects and quickly start contributing.

Your Main Activities Are

• Analyze, re-engineer processes and implement in Python to harmonize such processes, improve efficiency, and reduce operational risk related to existing practices.
• Improve risk insight by making better use of data and improved visualizations.
• Focus on the path to production of the tools delivered by the team, making sure best practices are followed when developing tools, to simplify migration to a full industrial setup at a later stage.
• Build knowledge on the valuation model risk and risk metrics.
  
  

Profile And Skills To Success

• Master’s degree in a quantitative based subject such as Engineering, Finance, Mathematics, Sciences, Economics, Econometrics, Computer Science, or related discipline.
• Fluent in English.
• Knowledge of the Python programming language with a focus on data analysis (basic concepts - dictionaries, list, etc; packages – numpy, pandas, etc.)
• Experience with other computing languages, in particular C++ or C#, is a plus.
• Additional benefits for the knowledge of the Object-Oriented Programming / Test Driven development concepts and Python architecture design patterns. Also experience with DevOps setup (git, TeamCity), creating unit and integration tests, library maintenance is highly preferable.
  
  

Why joining BNP Paribas?

• Leading banking institution
  
  

BNP Paribas is the European Union’s leading bank, and key player in international banking. It operates in 63 countries and has nearly 183.000 employees, including more than 146.000 in Europe.

• Our presence in Portugal
  
  

In Portugal since 1985, BNP Paribas today has more than 8.700 employees, distributed across the Group's 10 business entities established in the country. Its presence also extends to 11 excellence centers providing value-added services to various countries where the BNP Paribas Group also operates.

• International reach
  
  

Thanks To Its International Presence And Regular And Close Collaboration Among Its Different Entities, BNP Paribas Has The Resources To Support All Clients With Financing, Investment, Savings And Protection Solutions That Help Make Their Projects a Success. BNP Paribas Holds Key Positions In Its Three Core Operating Divisions

• Retail Banking, a division that brings together all of the Group’s retail activities and specialised business lines;
• Investment & Protection Services that include specialised businesses offering a wide range of savings, investment and protection services;
• Corporate & Institutional Banking division that offers tailored financial solutions for corporate and institutional clients.
• Diversity and Inclusion commitment
  
  

BNP Paribas is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect the society we live in, while keeping with the image of our clients.

• Commitment towards work/life balance
  
  

At BNP Paribas we care about our employees wellbeing and promote a culture of good integration between work and rest. We believe our employees have rich personal lives outside of work, being fundamental to be disconnected from work to recharge both physically and mentally. Only through this balance we may all be at our best while working.

• Remote Working Conditions
  
  

At BNP Paribas, we embrace a Smart Working framework based on trust, autonomy and collaboration. Within this framework, eligible employees can benefit from flexible remote working modalities adapted to our hybrid working environment. To guarantee a comfortable and efficient working set-up, eligible employees are provided with both the office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional equipment at reduced prices.

To find out more on why you should join BNP Paribas visit https://bnpp.lk/why-BNP-Paribas-Portugal

• Please note that only applications submitted in English will be considered.
• In case you are selected for this role, further documentation will be requested to support your hiring process.