Senior Data Analyst, Climate and Credit Risk

Attendance: Hybrid

Employment Category: Intermediate Professional

Type of Contract: Permanent

Benefits for vendors:

A career as a Senior Analyst in the Credit and Climate risk Analytics team at National Bank means you'll be a data specialist and work on innovative projects that analyse and structure data to meet the different needs of credit analytics teams and climate risks, becoming an essential link in creating value and client impact at the Bank, as well as building organisational resilience. This is in a dynamic and user-friendly work environment.

Your job

• Participate design and development of data acquisition solutions credit risk
• Develop and test data ingestion processes
• Produce reconcile and control data and their quality indicators
• Collaborate with stakeholders and related teams in the sector in order to integrate developments and business needs into our warehouses in data
  Work in an agile/iterative context.

Your team

This position reports to the Manager – Credit and Climate risk Data under the risk Management sector. You will be able to influence decision-makers through your analyses and database production as part of an experienced team dedicated to data. The team is made up of analytics business partners, data engineering specialists and data analysts. Our team stands out for its varied expertise in credit risk data management, data engineering and quantitative methods.

You work in a collaborative, stimulating and solutions-oriented environment where creativity, innovation and analytical rigour are central to your day-to-day work. Our goal is to offer you maximum flexibility to promote your quality of life through a hybrid work approach and flexible work schedules.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites

• 3 years of relevant experience in data analysis and development
• Experience data manipulation, analysis and prototyping
• Experience SAS programming is essential (SAS Viya, an asset)
  Knowledge extraction and statistics software (SQL, Python).

Your benefits

In addition to competitive compensation, upon hiring you'll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family.

• Health and wellness program, including many options

• Flexible group insurance

• Generous pension plan

• Employee Share Ownership Plan

• Employee and Family Assistance Program

• Preferential banking services

• Opportunities to get involved in community initiatives

• Telemedicine service

• Virtual sleep clinic

These are a few of the benefits available to you. We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We actively listen to employees' ideas. Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.

We're putting people first

We're a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peoples' lives. Our core values of partnership, agility, and empowerment inspire us, and inclusivity is central to our commitments. We offer a barrier-free workplace that is accessible to all employees.

We want our recruitment process to be fully accessible. If you require accommodation, feel free to let us know during your first conversations with us. We welcome all candidates What can you bring to our team?

Come live your ambitions with us

Additional required languages: French

Skills: Credit Risk, Data Structures, Data Visualization, Database Design, Python, Statistical Analysis Systems Programming, Storytelling, Teamwork, Business Acumen, Detail-oriented, Initiative, Learning Agility, Climate Risk, Data pipeline, Exploratory Data Anal