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Data Analyst - Senior

Raise

TorontoFull-timeMid LevelOn-site

Job Description

Data Analyst - Senior

  • Location: Toronto, ON - Hybrid -2 (Monday mandatory flexible overall even with core days)
  • Pay Rate: $74.90/hr - $86.58/hr
  • Contract Length: 12 Months with possibility for extension

We at Raise are hiring a Data Analyst - Senior for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.

Responsibilities:

  • Analytics support for incident response – Enable swift incident response by supporting any data and analysis needs during incidents. Work closely with the Fusion Response team and various business owners to deliver the required data to respond to incidents effectively.
  • Threat detection logic development – Use cross-domain data to develop detection logics for various threat scenarios. Work closely with business partners to understand the detection targets and their behaviours to come up with alerts that will mitigate the risk.
  • Coaching of junior members – Help junior members with the knowledge of the client's data and experience in handling analytics tasks.
  • Automation – Support Fusion continuous improvement initiative with automation. Use your programming skills to enable business partners and innovate existing manual processes.

CROSS-FUNCTIONAL RELATIONSHIPS

  • This role will work closely with various partners across Lines of Business (LOBs)

COMPLIANCE REQUIREMENTS/RESPONSIBILITIES

  • As an employee of banking, the incumbent must comply with all applicable banking and Line of Business policies, standards, guidelines and controls

WORKING CONDITIONS

  • This role operates within a hybrid working environment.

How many years of experience? 5+ years

Must Have Requirements:

  • 5+ years of experience in data and analytics, especially in the financial crime detection area or incident response, or any related field, with a strong record of impact. (Fraud, AML, threat detection, cybersecurity background experience
  • You can demonstrate knowledge and experience in data handling and manipulation. Proficiency in SQL for data extraction and scripting languages like Spark/Python for data cleaning, transformation, and analysis are highly valued.

KNOWLEDGE AND SKILLS:

  • You are a team player. You work effectively in teams and collaborate with stakeholders across different departments.
  • You have eyes for detail. Meticulousness in data handling and analysis is critical to ensure accuracy and reliability of results.

Nice to Have:

  • Previous banking experience or experience in a financial institution.
  • Experience with Neo4j – a graph database

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

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