Quantitative Analyst

Risk team mission

Our global mission is to allow Alma to grow quickly and securely, by anticipating and preventing any risk that could endanger the company and the business. In short, that means:

• Build tools, methodologies and processes that allow us to accurately assess the risk level of our merchants, at the onboarding and throughout the entire relationship ;
• Continuously improve our customer scoring model with the objective to offer a frictionless payment experience, maximizing acceptance while protecting Alma against default risk and customers against over-indebtedness;
• Prevent and foil any fraud attempt from our clients or our merchants.

Within Risk, Quant Analytics team is more specifically responsible for:

• Building and continuously improving our customer scoring algorithm, as well as adapting it to new products and markets;
• Implementing and improving our merchant scoring methodology;
• Defining and maintaining our SPV valuation methodology ;
• Actively contributing in the drawing up of the company’s strategy, notably from a risk management perspective.
• Measuring, monitoring and reporting our risk management performance.

About the job

Reporting directly to the Quant Manager, your role will be to adapt and improve our credit and counterparty risk management, notably by:

• Finding new levers to increase our margin via a better risk management

  You will help identifying and exploring new approaches aiming at reducing customers default risk.

• Overhaul of counterparty risk methodologies

  You will work on the definition of new methodologies to better anticipate liquidation risk among our merchants.

• Improving our monitoring and reporting capacities You will define methodologies and create tools to monitor, explain and report the evolution of our risk metrics. You will work on projection methodologies within the objective of accurately predicting PnL evolution, as well as correctly pricing receivables sold within our SPV.

• Interacting with other business lines You will constantly interact with other departments to contribute on various topics, by adding a quantitative approach to the analysis of Risk challenges.

• Contributing in raising awareness of risk-related issues within Alma

  You will answer risk-related inquiries from all teams and tackle most topical and impactful topics within risk reporting.

About You 

Skills

• Fluent in French and in English
• Data driven: You rely on data to take the optimal decisions, you have strong SQL and Python skills;
• Financial modelling: You have strong analytical skills, and a good knowledge of credit risk modelling techniques;
• Communication skills: You are able to work strategically and collaboratively across different departments that have very different objectives;
• Autonomous and accountable: You are able to take decisions with partial information and you are not afraid to take responsibility for them.

Past experience

• Master's degree, with a specialization in quantitative finance
• First experience in a team responsible for the monitoring of credit risk and/or the design of associated credit risk models

About the recruitment process

• Interview with our HR team
• Interview with the Team manager
• Case Study
• Final interview with Head of Risk Modelling team