This job is with TD Bank, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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,
Location: New York, NY
Posted: Oct. 9, 2024, 7:43 p.m.
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