85 per hour\nMarkham, ON, Canada\nOnsite\nJob Description\n

ASSIGNMENT DETAILS

Position Title:

Data scientist \\ data engineer\n# of positions: 4

Will be shortlisting 20 resumes in the first round\n

Start Date:

Early August\n

Duration:

6 months\nExtension possible: Yes\n

Conversion Possible:

Yes\n

Billing Cost Center:

004-5595

TD CDN\n

Schedule:

M-F Core business hours\n

OT:

As needed\n

Rotation:

No\n

Budget/TD Bill Rate:

•

Work Location:

Remote, Onsite, or Hybrid:

Hybrid

3 days a week in office\nAnchor Days (if applicable): Wednesday\n

Address:

3500 Steeles Avenue East, Markham, Ontario

could also be 79 Wellington West TO ( as per the consultant residence or commute preference )\n

Travel Required:

No\nPossibility of any

Additional Upcoming Furlough:

No\n

STORY BEHIND THE NEED

\nReason for request/why opened: New project support\n

Scope of Project:

Building transaction monitoring in Oracle\n

Team Size/Culture:

10 ppl\n

Training Period:

3 weeks\nSelling Points of Position (CVP): Working within a leading FI organization\n

CANDIDATE PROFILE DETAILS

Degree/Level of Education:

Ideally masters but experience can compensate ( computer science or related )\n

Certifications Required:

No\n

Years of Overall Experience:

5yrs +\nHow will performance be measured: Quality of the deliverables\n

Preferred/Ideal Candidate Background:

\nFI ideally\n

SUMMARY OF THE ROLE

\nTypical Day-to-Day Responsibilities\nReporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to AML transaction monitoring systems.\n

Work independently to provide analysis, design and support of technical data management solutions on various projects ranging in complexity and size\n
Conduct data quality checks on raw or curated data on Oracle and Azure platforms\n
Conduct activities related to customer segmentation, scenario Initial threshold setting and model performance monitoring\n
Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements\n
Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities.\n
Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.

\nHow much time is being spent in meetings : 1hr a day\nWho are they interacting with (internal/external) : Majority is Internal but some external\nWill the contractor have access to any customer data? YES\n

MUST-HAVE Hard Skills:

\nExpert-level proficiency in Python and SQL.\nAdvanced knowledge of query optimization, debugging, and automation.\nStrong data exploration and analysis skills, with experience working with large-scale datasets.\nAbility to apply statistical techniques and data mining tools to solve business problems.\nStrong knowledge of and experience with data-driven or data-centric projects.\n

SOFT SKILLS

\nStrong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly.\nProven ability to work effectively within large, collaborative teams and contribute as a strong team player.\nExcellent multi-tasking skills: ability to adapt to and manage changing priorities.\n

NICE-TO-HAVE

\n1.) Experience with SAS, Informatica, Tableau, and other relevant data analytics tools.\n2.) AML knowledge\n

DISQUALIFIERS

is there any information/experience on a candidate's resume that would disqualify them from consideration for this position?

\n1.) N\\A\n

TIMELINES/IMPORTANT DATES:

Upcoming PTO:

July 3rd to July 10th\n

Supplier Call:

Friday June 26th 10am\n

Distribute Requisition:

June 26th\n

Halting:

June 30th\n

Shortlist De-Brief:

24hrs

48hrs\nTarget interview: July 13th onward\nInterview process: 1 round in person in Markham panel and technical testing\nInterview de-brief: As completed

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