Data Scientist – SQL, Python/R/SAS, PowerBI, Investing

Our banking client is looking for a Data Scientist – SQL, Python/R/SAS, PowerBI, Investing

Length: 12 months contract with a high chance of extension

Location: Toronto, ON – Hybrid (2-3 days onsite)

Hours of Operation: 9am-5pm (37.5hrs/wk.)

Line of Business: GAM Business Analytics & Insights

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JOB DESCRIPTION

• A specialist position that combines knowledge of financial markets and investment sales with data and technology skills.
• Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
• Designs and constructs new processes for modeling data.
• Develops predictive models and leverages data technology to design solutions that deliver smarter business decisions.
• Data visualization and dashboard management are expected to be part of day-to-day.

The ideal candidate will be collaborative and sociable and will work with data engineers to set up analytics, as well as investment distribution teams to implement analytics solutions.

RESPONSIBILITIES INCLUDES:

• Use machine learning methods to create and test new sales strategies investment distribution teams.
• Work with data engineers and business analysts to create data pipeline and analytics tables.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Communicates abstract concepts in simple terms.
• Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
• Anticipates trends and responds by implementing appropriate changes.
• Broader work or accountabilities may be assigned as needed.

MUST HAVE

• 4+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
• SQL, Python/R/SAS, and visualization (e.g., PowerBI) skills are essential.
• Data analytics and machine learning skills are essential.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Ideal candidates will be personable with strong written/verbal communication skills in addition to technical skills.
• Able to manage ambiguity.
• Data driven decision making.

NICE TO HAVE

• Knowledge and experience in the investment industry or financial sales is a major asset.
• Previous Banking Experience Ideal

Education/Certifications: CFA or advanced degree in relevant field preferred.

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URGENT: Please read the job description above. If this interests you, apply to the job with your most updated resume, including your contact number and email address.

The recruiter in charge of this role is Leonard

If you do not think you are a match for this opportunity, but know someone who is, feel free to forward this job description to them and you will be eligible for a referral bonus upon a successful hire.

Please note that this is the most up to date version of job description available at this time – During Client Interview you will receive additional information – variance may apply!

Please note: Adherence to our end client’s vaccination policy is a requirement.

Please visit the TEAMRECRUITER website to review other CAREER OPPORTUNITIES!

Job Types: Full-time, Fixed term contract

Contract length: 12 months

Pay: $55.60-$65.45 per year

Work Location: Hybrid remote in Toronto, ON