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Entry Level Data Analyst Fintech Jobs in Quebec (NOW HIRING)

Tu analyses un fort volume de dossiers de crdit, gres un flux important dappels avec les ... Environnement Fintech stimulant, technologique et en pleine expansion Tu te reconnais? Si tu ...

New

Tu analyses un fort volume de dossiers de crédit, gères un flux important d'appels avec les ... Environnement Fintech stimulant, technologique et en pleine expansion Tu te reconnais ? Si tu ...

New

Tu analyses un fort volume de dossiers de credit, geres un flux important d'appels avec les ... Environnement Fintech stimulant, technologique et en pleine expansion Tu te reconnais? Si tu ...

Data & Analytics Pay Details: 68 000 $/$68,000 - 90 000 $/$90,000 CAD TD is committed to providing ... DEPTH * Entry level role with a focus on providing functional specialized business services ...

... payments or fintech and who are interested in learning more about Spreedly. Please share your ... Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates ...

We welcome both entry-level candidates and those with several years of experience. The role can ... Strong data analysis skills and meticulous attention to detail in document management * Strong team ...

This is an entry-level opportunity ideal for someone passionate about music, live events, artists ... data analysis, for talent agents, producers and artists from all over the world; it develops its ...

Entry Level Data Analyst Fintech information

What is the difference between Entry Level Data Analyst Fintech vs Entry Level Data Scientist Fintech?

AspectEntry Level Data Analyst FintechEntry Level Data Scientist Fintech
Required CredentialsBachelor's in Data, Finance, or related field; basic SQL and Excel skillsBachelor's in Data Science, Statistics, or related; programming skills in Python/R; some certifications
Work EnvironmentData analysis teams within fintech companies, focusing on reporting and dashboardsData science teams, working on predictive models and advanced analytics
Employer & Industry UsageCommon in fintech firms for operational insightsLess common at entry level, more in research and development roles

Entry Level Data Analyst Fintech roles focus on interpreting data, creating reports, and supporting decision-making with basic analytics. Entry Level Data Scientist Fintech positions involve more advanced statistical modeling and programming. While both roles require a strong foundation in data concepts, data scientists typically need additional technical skills and certifications. The analyst role is more accessible for beginners, whereas data scientist roles are more specialized and technical.

What does an entry level data analyst do in the fintech industry?

An entry level data analyst in fintech is responsible for collecting, cleaning, and interpreting data related to financial products and services. Their work typically involves analyzing large datasets to identify trends, support business decisions, and improve financial products. They may also create dashboards or reports to visualize data findings for other teams. Additionally, entry level analysts often collaborate with engineers, product managers, and senior analysts to ensure data accuracy and relevance. This role provides a strong foundation in both data analysis and the unique challenges of the financial technology sector.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst in Fintech, and why are they important?

To thrive as an Entry Level Data Analyst in Fintech, you need strong analytical skills, a solid grasp of statistics, and a degree in a related field such as mathematics, finance, or computer science. Familiarity with data analysis tools like SQL, Python, and Excel, as well as financial data platforms, is typically expected. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and sharing insights with stakeholders. These skills are important for accurately analyzing complex financial data, driving data-driven decisions, and supporting the company's strategic goals.

What are some typical projects or tasks that an entry level data analyst in a fintech company might work on?

As an entry level data analyst in fintech, you’ll often assist with tasks such as cleaning and preparing large financial datasets, creating basic reports and dashboards, and supporting more senior analysts with ad-hoc data requests. You may also help monitor transaction trends for fraud detection, contribute to customer segmentation projects, and automate routine data processes. Collaboration with product, engineering, and compliance teams is common, and you’ll gain valuable exposure to the fast-paced, data-driven decision-making environment typical of fintech companies.
What job categories do people searching Entry Level Data Analyst Fintech jobs in Quebec look for? The top searched job categories for Entry Level Data Analyst Fintech jobs in Quebec are:
What cities in Quebec are hiring for Entry Level Data Analyst Fintech jobs? Cities in Quebec with the most Entry Level Data Analyst Fintech job openings:

Analyste crdit

Iceberg Finance Group

Quebec, QC • On-site

Full-time

Posted yesterday

New


Job description

Salary:

Qui sommes nous?

Iceberg Finance est bien plus quune socit de financement automobile, cest une Fintech de nouvelle gnration qui rinvente le crdit la consommation grce lintelligence artificielle, lautomatisation et la data. En forte croissance, nous traitons des milliers de demandes de financement chaque mois via une plateforme technologique de pointe, en partenariat avec un rseau tendu de concessionnaires travers le Canada. Si tu veux voluer dans un environnement o la tech et la finance se rencontrent, tu es au bon endroit.


Rsum du poste

Sous la responsabilit du directeur Crdit, lAnalyste crdit opre dans un environnement Fintech haute vlocit o les outils dautomatisation et daide la dcision sont au cur du quotidien. Tu analyses un fort volume de dossiers de crdit, gres un flux important dappels avec les concessionnaires partenaires et prends des dcisions rapides et claires le tout en maintenant un niveau de qualit et de conformit lev. Un rle taill pour quelquun qui aime la cadence, la rsolution de problmes et limpact concret.


Responsabilits principales

  • Analyser un fort volume de dossiers de crdit automobile et rendre des dcisions rapides et claires dans des dlais serrs
  • valuer le collatral vhicule: valeur marchande, Loan to Value, kilomtrage, anne, usure et historique daccidents
  • Dtecter les signaux de fraude: incohrences documentaires, faux talons de paie, manipulations de contrats, prte-noms
  • Appliquer les politiques de risque: seuils dapprobation, matrices de tarification, avances maximales, acomptes et garanties
  • Grer un volume lev dappels tlphoniques avec les concessionnaires partenaires (F&I) pour clarifier les dossiers, rsoudre les problmes en temps rel et acclrer le cycle dapprobation
  • Recommander des structures adaptes: terme, acompte, coemprunteur, produits complmentaires
  • Documenter les dcisions (notes, justifications, pices) et participer aux revues post-financement et audits qualit
  • Travailler en synergie avec les outils automatiss et les flux intelligents de la plateforme pour optimiser la prise de dcision

Profil recherch

  • Une premire exprience en crdit la consommation le secteur automobile est un atout important
  • Excellente matrise du franais, tant loral qu lcrit
  • Capacit dmontre grer un fort volume de dossiers et dappels tout en maintenant rigueur et prcision
  • laise pour prendre des dcisions rapides sous pression, avec un bon jugement analytique
  • Bonne matrise de la suite Microsoft 365 (Outlook, Teams, Word, Excel)
  • Bonnes aptitudes en communication langlais est un atout

Ce que nous offrons

  • Poste permanent temps plein 37,5h/semaine, 5 jours par semaine
  • Rgime dassurance collective complet ds lembauche (sant et dentaire)
  • Contribution de lemployeur au REER
  • 3 semaines de vacances et plus
  • Gym sur place et stationnement gratuit
  • Environnement Fintech stimulant, technologique et en pleine expansion

Tu te reconnais? Si tu reconnais dans un environnement rapide et tech, que tu aimes analyser, dcider et rsoudre et que le dfi du volume ne te fait pas peur ce poste est fait pour toi.