Principal Data Scientist (Credit Risk Modeling)

Farm Credit Canada; Calgary; On-site; CAD 100,000 - 140,000; Full time

Job summary

Une société financière de premier plan recherche un leader en big-data analytics pour diriger une équipe dans l'exploitation de vastes ensembles de données. Au sein de ce rôle, vous guiderez des projets en utilisant des outils de machine learning pour optimiser les processus de l'entreprise. Vous travaillerez de manière proactive pour générer des recommandations et des insights clairs pour la prise de décision.

Qualifications

• Minimum de 8 années d'expérience ou équivalent.
• Expertise en gestion des risques et en finance.
• Capacité à travailler avec de grands ensembles de données.

Responsibilities

• Diriger et encadrer des équipes de données.
• Déverrouiller des insights à partir de données complexes.
• Utiliser des techniques avancées pour résoudre des problèmes de données.

Skills

Big-data analytics

Predictive analytics

Machine learning

Statistics

Mathematics

Risk management

Education

Master’s degree in relevant domain

Tools

Predictive and descriptive analytics tools

Job description

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

Expertise in big-data analytics for financial industry required

Provide informal leadership to an experienced team searching for problems to solve and opportunities to capitalize on within huge and diverse datasets.

What you’ll do :

lead and mentor data teams to find problems, and to solve and opportunities to capitalize on within huge and diverse datasets

unlock insights from the most complex and diverse groupings of internal and external data, and to tell a story with the data that enables enlightened decision making at all levels of the organization

use advanced big data, predictive analytics, and machine learning tools to find ways to solve complex data problems and find ways to improve FCC through data

What we’re looking for :

Enterprise-wide thinker who can combine rare and deep business domain knowledge with deep knowledge of complex statistical and mathematical concepts

Confident communicator able to translate knowledge for others

Expert in statistics and mathematics

Relationship-builder comfortable making recommendations to senior leaders

Proven mentor who works well within a high-performing team

What you’ll need :

A master’s degree in one of the noted domain and at least eight years of experience (or an equivalent combination of education and experience)

Expert knowledge of risk management and finance areas such as, credit risk, allowance for credit losses, economic capital, and stress testing

Demonstrated ability to work with huge data sets and use sophisticated big data and machine learning techniques and technologies

Mastery of one or more predictive and descriptive analytics tools and techniques