Front Office Data Engineer Graduate Analyst
Front Office Data Engineer Graduate Analyst

Front Office Data Engineer Graduate Analyst

City of London Full-Time 28800 - 43200 £ / year (est.) No home office possible
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TD

At a Glance

  • Tasks: Join our team to develop data pipelines and analytical tools for the front office.
  • Company: Be part of TD Securities, a leading global banking institution.
  • Benefits: Enjoy competitive salary, health benefits, and career development opportunities.
  • Why this job: Gain hands-on experience in finance and technology while working on impactful projects.
  • Qualifications: Degree in Computer Science or Engineering; programming skills in Python or Java.
  • Other info: Dynamic work environment with a focus on inclusivity and personal growth.

The predicted salary is between 28800 - 43200 £ per year.

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Work Location: London, United Kingdom
Hours: 35
Line Of Business: TD Securities

Job Description

TD Bank Group, Headquartered In Toronto, Canada, With More Than 85,000 Employees In Offices Around The World, The Toronto-Dominion Bank And Its Subsidiaries Are Collectively Known As TD Bank Group (TD). TD Offers a Full Range Of Financial Products And Services More Than 25 Million Customers Worldwide Through Three Key Business Lines

  • Canadian Retail including TD Canada Trust, Business Banking, TD Auto Finance (Canada), TD Wealth (Canada), TD Direct Investing and TD Insurance
  • U.S. Retail including TD Bank, America’s Most Convenient Bank, TD Auto Finance (U.S.), TD Wealth (U.S.) and TD’s investment in TD Ameritrade
  • Wholesale Banking including TD Securities

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.

With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly diverse equity research franchise, while growing our strong, diversified investment bank.

We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value to our clients every day.

Business Context

From the first day you join the TDS Technology team, you’ll be working as part of a global team at one of the world\’s largest banking institutions.

Our development program offers extensive training, early exposure to stimulating projects and clients, and the opportunity to gain the knowledge and skills you need to succeed in a competitive and invigorating environment.

We are looking for highly competent, intelligent upcoming or recent graduates that thrive under pressure and can adapt to changing situations. You will also be required to work closely with colleagues from other divisions and other regions across TD Securities daily.

Our teams\’ mission is to build and expose the key dataset needed to by our FICC business to drive data-driven insights and efficiencies. You will sit as part of the front office and be involved in helping own and evolve our critical business data pipelines, libraries, reports, and analytical tools used by our front office partners. Where data meets engineering.

Role Requirements

  • 2:1 or above degree (or equivalent) qualification in Computer Science or Engineering
  • Genuine interest in finance and technology
  • Knowledge / experience of programming languages including Python, Java
  • Familiarity of Software engineering methodologies e.g. Object-Oriented programming / Agile
  • Knowledge of Database Systems (e.g. SQL/NoSQL)
  • Experience using Git for source code versioning
  • Analytical and problem-solving skills
  • A natural curiosity and interest in current affairs
  • Ability to work in a fast-paced environment across teams and regions and deliver accurate results under time pressure
  • Good interpersonal and communication skills, with an emphasis on being a team player
  • A willingness to learn and demonstrate a growth mindset

Desirable Skills / Experience

  • Working Data Analysis experience using Numpy, Pandas Python libraries, Matlab or R
  • Familiarity with visualization libraries (plotly, seaborn, matplotlib), dashboards Plotly Dash, Streamlit or Shiny
  • Understanding of test-driven development

Terms of Offer

  • The role will be based in our London office at 60 Threadneedle Street.
  • Prior to any formal offer being made, successful applicants must provide proof of their unrestricted right to live & work in the UK.

Shared Commitments

  • Think like a customer; provide legendary experiences and trusted advice
  • Act like an owner; lead with integrity to drive business results and contribute to communities
  • Execute with speed and impact; only take risks we can understand and manage
  • Innovate with purpose; simplify the way we work
  • Develop our colleagues; embrace diversity and respect one another

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Our Total Rewards Package

Our Total Rewards package reflects the investment we make in our colleagues to help them, and their families achieve their well-being goals. Total Rewards at TD includes a base salary and several other key plans such as health and well-being benefits, including medical coverage, paid time off, career development, and reward and recognition programs.

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.

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Front Office Data Engineer Graduate Analyst employer: TD

TD Securities is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. With a strong commitment to employee development, you will benefit from extensive training, mentorship opportunities, and a culture that values diversity and inclusiveness. Join us to be part of a global team that not only drives data-driven insights but also prioritises your growth and well-being through a comprehensive rewards package.
TD

Contact Detail:

TD Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Front Office Data Engineer Graduate Analyst

✨Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Know what makes TD Securities tick, and be ready to share how you can contribute to their mission.

✨Tip Number 3

Show off your skills! If you have a portfolio or GitHub with projects, bring it along to interviews. It’s a great way to demonstrate your coding chops and passion for data engineering.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!

We think you need these skills to ace Front Office Data Engineer Graduate Analyst

Analytical Skills
Problem-Solving Skills
Programming Languages (Python, Java)
Software Engineering Methodologies (Object-Oriented Programming, Agile)
Database Systems (SQL, NoSQL)
Git for Source Code Versioning
Data Analysis (Numpy, Pandas)
Visualisation Libraries (Plotly, Seaborn, Matplotlib)
Dashboards (Plotly Dash, Streamlit, Shiny)
Interpersonal Skills
Communication Skills
Adaptability
Curiosity
Teamwork
Growth Mindset

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Front Office Data Engineer Graduate Analyst role. Highlight relevant skills like programming languages and any experience with data analysis. We want to see how you fit into our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your genuine interest in finance and technology, and explain why you’re excited about joining us at TD Securities. Let your personality come through!

Showcase Your Projects: If you've worked on any projects related to data engineering or analysis, make sure to mention them. We love seeing practical examples of your skills in action, so don’t hold back on sharing your achievements!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at TD

✨Know Your Tech

Make sure you brush up on your programming languages, especially Python and Java. Be ready to discuss how you've used these in past projects or coursework, as well as your familiarity with software engineering methodologies like Agile.

✨Show Your Interest in Finance

Since this role is at the intersection of finance and technology, demonstrate your genuine interest in both fields. Read up on current trends in financial technology and be prepared to discuss how they relate to the role you're applying for.

✨Prepare for Problem-Solving Questions

Expect to face analytical and problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, as this will showcase your ability to think critically under pressure.

✨Emphasise Teamwork and Communication

This role requires collaboration across teams and regions, so highlight your interpersonal skills. Share examples of how you've successfully worked in teams, and be ready to discuss how you handle communication in a fast-paced environment.

Front Office Data Engineer Graduate Analyst
TD
Location: City of London
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