ASSIGNMENT DETAILS:
Position Title: Data scientist \ data engineer
# of positions: 4 Will be shortlisting 20 resumes in the first round
Start Date: Early August
Duration: 6 months
Extension possible: Yes
Conversion Possible: Yes
Billing Cost Center: 004-5595 - TD CDN
Schedule: M-F Core business hours
OT: As needed
Rotation: No
Budget/TD Bill Rate: ***
Work Location:
Remote, Onsite, or Hybrid: Hybrid - 3 days a week in office
Anchor Days (if applicable): Wednesday
Address: 3500 Steeles Avenue East, Markham, Ontario could also be 79 Wellington West TO ( as per the consultant residence or commute preference )
Travel Required: No
Possibility of any Additional Upcoming Furlough: No
STORY BEHIND THE NEED:
Reason for request/why opened: New project support
Scope of Project: Building transaction monitoring in Oracle
Team Size/Culture: 10 ppl
Training Period: 2- 3 weeks
Selling Points of Position (CVP): Working within a leading FI organization
CANDIDATE PROFILE DETAILS:
Degree/Level of Education: Ideally masters but experience can compensate ( computer science or related )
Certifications Required: No
Years of Overall Experience: 5yrs +
How will performance be measured: Quality of the deliverables
Preferred/Ideal Candidate Background:
FI ideally
SUMMARY OF THE ROLE:
Typical Day-to-Day Responsibilities
Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to AML transaction monitoring systems.
Work independently to provide analysis, design and support of technical data management solutions on various projects ranging in complexity and size
Conduct data quality checks on raw or curated data on Oracle and Azure platforms
Conduct activities related to customer segmentation, scenario Initial threshold setting and model performance monitoring
Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities.
Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.
How much time is being spent in meetings : 1hr a day
Who are they interacting with (internal/external) : Majority is Internal but some external
Will the contractor have access to any customer data? YES
MUST-HAVE Hard Skills:
Expert-level proficiency in Python and SQL.
Advanced knowledge of query optimization, debugging, and automation.
Strong data exploration and analysis skills, with experience working with large-scale datasets.
Ability to apply statistical techniques and data mining tools to solve business problems.
Strong knowledge of and experience with data-driven or data-centric projects.
SOFT SKILLS:
Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly.
Proven ability to work effectively within large, collaborative teams and contribute as a strong team player.
Excellent multi-tasking skills: ability to adapt to and manage changing priorities.
NICE-TO-HAVE
1.) Experience with SAS, Informatica, Tableau, and other relevant data analytics tools.
2.) AML knowledge
DISQUALIFIERS is there any information/experience on a candidates resume that would disqualify them from consideration for this position?
1.) N\A
TIMELINES/IMPORTANT DATES:
Upcoming PTO: July 3rd to July 10th
Supplier Call: Friday June 26th 10am
Distribute Requisition: June 26th
Halting: June 30th
Shortlist De-Brief: 24hrs -48hrs
Target interview: July 13th onward
Interview process: 1 round in person in Markham panel and technical testing
Interview de-brief: As completed