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.