Quantitative Analyst – Network Simulation
3 weeks ago
Responsibilities
- Carry out operational tasks, including production management (daily and monthly) and model updates;
- Realise numerical simulations and modeling of electrical networks using a commercial simulator;
- Perform price prediction analyses;
- Evaluate the quality of predictions;
- Propose and develop projects to improve the quality and accuracy of simulation and the speed of processes.
What we are looking for:
- Academic excellence ;
- Bachelor’s degree in software engineering, or electrical engineering, or mathematics, or any other discipline deemed relevant;
- Good knowledge of Python or C# ;
- SQL (queries) and Snowflake are an asset;
- Important interpersonal skills: strong collaborative spirit, attentive and responsive to internal needs, able to communicate with different teams and problem‑solving skills;
- Excellent analytical skills.
Why choose MAG Energy Solutions?
- Competitive conditions : Competitive base salary with variable compensation based on performance, as well as four (4) weeks of vacation upon hiring;
- Typical schedule: Eight (8) hour shifts Monday through Friday, daytime hours, average of forty (40) hours per week;
- Future prospects: A key opportunity in a booming sector, with strong potential for development and compensation;
- Benefits : Above‑market employer contribution to group insurance and pension plan for employees;
- Hybrid work mode : Every Monday, Tuesday and Thursday, employees meet at the office to foster collaboration;
- Friendly work environment: Sit‑stand workstations, two (2) to three (3) monitors per person, ergonomic chairs and keyboards, newly renovated offices, direct underground access from Peel subway station, secure indoor bicycle parking, free gym, breakfast served every Monday, Tuesday, and Thursday, and that’s not all
- Dynamic corporate culture: Team meetings during in‑person workdays, Golden Friday (half‑day off on the last Friday of the month), monthly activities (golf tournament, Canadiens game, organized trips, happy hours), team‑based rather than individual‑based recognition, 98% staff retention rate, and much more
Our recruitment process
- Pre‑selection telephone interview;
- First in‑person interview;
- Online psychometric test;
- Technical test to be completed at home within forty‑eight (48) hours;
- Second in‑person interview with members of the Network Modeling team.
Apply now
Apply now
Send us your curriculum vitae and university transcripts.
Only candidates selected for further consideration will be contacted.
It is possible to download multiple documents at once.
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