Data Scientist \ Data Engineer

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

Remote

Benefits:

401K, Employee Referral Program, Life Insurance

Skills:

Analysis Skills, Automation, Business Strategy, Business Support, Communication Skills, Computer Science, Cross-Functional, Customer/Client Research, Data Analysis, Data Management, Data Mining, Data Modeling, Data Quality, Data Science, Data Sets, Debugging Skills, Documentation, Informatica, Market Segmentation, Microsoft Windows Azure, Multitasking, Oracle, Performance Analysis, Performance Modeling, Problem Solving Skills, Project Estimates, Quality Control, Quality Metrics, Query Optimization, Regulatory Compliance, Regulatory Requirements, Sales, Statistical Analysis System (SAS), Statistics, Tableau, Team Player, Technical Leadership, Technical Support, Transaction Processing/Management, Willing to Travel

About the Company:

Iconma

ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.

- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.

- Certified Woman-Owned Business Enterprise (WBE); certified by Wome