Role Type:

Undergraduate

Work Term:

Work Location:

United States of America

Hours:

40

Pay Details:

$85,000 - $85,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. The included salary range for this role takes into account multiple factors that are considered in making compensation decisions. The base pay actually offered may vary based upon candidate's skills and experience, job-related knowledge, licensure and certifications, geographic location, and other specific business and organizational needs. As TD puts career development at the forefront of our colleague experience, it is not typical for an individual to be hired at or near the top of the range for their role.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Job Description 

The 2025 Full Time Analyst – Data Engineer will perform a variety of activities, which may include:

• Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
• Collaborate with business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
• Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
• Build production-scale solutions and work with deployment teams to integrate in business operations
• Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences.

JOB REQUIREMENTS 

• Must have an Undergraduate degree in Mathematics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
• Strong statistical and analytical skills as well as a passion for analytics are necessary.
• Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
• Experienced in one or more of:
  • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
  • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
• Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Java, or C/C++
• Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.

• Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
• Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
• Remain current with emerging trends and technologies in Data Science

How You Will Contribute 

• Participate on a team with targeted deliverables, working on initiatives designed to develop new functionality, improve processes, systems and applications which support our key businesses at TD Securities. 

• Produce high quality code for various initiatives and ensure defect free programming by testing and debugging using available/appropriate tools and participate in peer code reviews. 

• Develop new applications/solutions with consistent quality standards; provide code maintenance and support during testing cycles and post-production deployment. 

• Work with technologies such as: JavaScript, Angular, React, SQL, NoSQL, C++, C#, Java, Scala, Python, NodeJS, RESTful APIs, Hadoop stack (HBase, HDFS), Spark API (DataFrame, DataSet), enterprise integration patterns and messaging systems (Kafka, ZeroMQ), etc. 

• Full Time Analyst - Data Engineer typically work on Financial Securities-related Technology projects such as: trade capture, real-time derivatives pricing & risk mgmt., PNL, quant modeling, algo execution & hedging, big data analytics, electronic trading & STP, valuations, etc. 

• Full Time Analyst - Data Engineer will typically learn about financial products (no prior financial knowledge is required!) such as: equity derivatives, interest rate derivatives, FX spot & derivatives trading (market making, algo trading & hedging), fixed income, credit derivatives, commodity derivatives, mortgage-backed securities (MBS), etc. 

Depth & Scope: 

 

·       Builds an understanding of the businesses and Customers the role supports. 

·       May answer and direct incoming calls internally and externally. 

·       Provides support for Manager and other areas, as indicated. 

·       May assist in completing various departmental projects/reports. 

·       May assist in the Preparation of specific schedules related to the monthly/quarterly/yearly reports or projects. 

·       Analyzes specific accounts. 

·       Assists in the preparation of specific federal and state returns. 

·       Assists with projects. 

·       Assists in the audit requests. 

·       Assists with operational and administrative functions. 

·       May support or partner with several business functions/areas/departments. 

·       Participates in various projects and tasks, as assigned 
  

Education & Experience:  

 

·       High School Diploma required. 

·       Currently enrolled in 4-year college program or post graduate program 

·       3.2 GPA or higher preferred 

·       Excellent computer skills, including Microsoft Office 

·       Excellent interpersonal skills 

·       Demonstrated leadership qualities. 

·       Good written and oral communications skills 

·       Detail oriented and self-motivated 

·       Ability to handle multiple tasks in a fast-paced environment. 

·       Ability to work in an office environment. 

·       You must be work authorized in the United States on a permanent basis without the need for employer sponsorship. 

·       Anticipated graduation between December 2024 - June 2025 preferred. 

 

Physical Requirements: 

 

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% 

·       Domestic Travel – Occasional 

·       International Travel – Never 

·       Performing sedentary work – Continuous 

·       Performing multiple tasks – Continuous 

·       Operating standard office equipment - Continuous 

·       Responding quickly to sounds – Occasional 

·       Sitting – Continuous 

·       Standing – Occasional 

·       Walking – Occasional 

·       Moving safely in confined spaces – Occasional 

·       Lifting/Carrying (under 25 lbs.) – Occasional 

·       Lifting/Carrying (over 25 lbs.) – Never 

·       Squatting – Occasional 

·       Bending – Occasional 

·       Kneeling – Never 

·       Crawling – Never 

·       Climbing – Never 

·       Reaching overhead – Never 

·       Reaching forward – Occasional 

·       Pushing – Never 

·       Pulling – Never 

·       Twisting – Never 

·       Concentrating for long periods of time – Continuous 

·       Applying common sense to deal with problems involving standardized situations - Continuous 

·       Reading, writing, and comprehending instructions – Continuous 

·       Adding, subtracting, multiplying, and dividing – Continuous 

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at [email protected]. Include your full name, best way to reach you, and the accommodation needed to assist you with the application process.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.