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- Tasks: Build cutting-edge tools and models for trading decisions and data-driven strategies.
- Company: Join TD Securities, a global leader in finance with a focus on diversity and sustainability.
- Benefits: Competitive pay, supportive culture, and opportunities for professional growth.
- Why this job: Make an impact in finance using your skills in quantitative analysis and machine learning.
- Qualifications: Strong coding skills in Python, experience in quantitative analysis, and a graduate degree.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
The Research Engagement and Quantitative Innovation team is seeking a non‑publishing Quantitative Researcher / Strategist to support front‑office quantitative financial market and client analytics projects. The role involves building tools, developing models, publishing research, and coordinating with stakeholders to deliver data‑driven strategy solutions.
Responsibilities:
- Building world‑class tools that assist strategists and traders in making trading decisions; designing, implementing, and supporting quantitative models.
- Contributing to research publications based on insights derived from the above analytics.
- Assisting with the development and maintenance of codebase as required.
- Performing literature research in quantitative techniques, big‑data trends, and broader market trends.
- Partnering with Quant Innovation leadership, Sales, Trading, Technology, and key stakeholders to shape data‑driven strategy solutions.
- Using machine learning to combine research, trade, and financial model data to extract trade opportunities for sales.
- Further developing advanced Python/SQL ETL and data ingestion through vendor APIs to improve computation capabilities within the SQL database, producing a seamless output onto Tableau.
- Designing, building, and automating advanced dashboards, analytics, and reporting solutions (e.g. Plotly/Tableau).
- Leading complex data analysis across multiple internal and external data sources, identifying patterns, data quality issues, and opportunities to improve models and governance.
- Driving automation of manual strategy workflows and deploying analytics, models, and outputs into cloud environments.
- Identifying underlying data patterns, structures, and issues through comprehensive data analysis.
- Liaising with internal sales and trading teams and external clients to provide market insight.
Skills & Qualifications:
- Strong research and software development skills; proficiency in Python and experience with VBA, Excel, and spreadsheet‑based analysis.
- Solid programming fundamentals (OOP, basic design patterns), statistics, and classical machine learning.
- Excellent problem‑solving, analytical, critical thinking, and communication skills.
- Team‑player mindset and a desire to improve team efficiency.
- Machine‑learning experience with a focus on data analysis and visualization techniques.
- Graduate degree in Computer Science, Mathematics, Engineering, or Physics.
- Experience with Bloomberg, Macrobond, Plotly, and/or Tableau preferred.
- Ability to work in a fast‑paced environment under strict deadlines.
- 2-3 years’ work experience in quantitative analysis focusing on coding, data analysis, machine learning, back‑testing, and/or econometrics.
- Prior buy‑or‑sell‑side experience preferred.
Compensation:
We’re committed to providing fair and equitable compensation to all our colleagues. Candidates are encouraged to ask questions with our HR team.
Hosted by TD Securities. TD Securities is a division of TD Bank Group, a leading global financial institution with a strong commitment to diversity and sustainability.
Associate, Quant Strategist employer: TD
Contact Detail:
TD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate, Quant Strategist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models, dashboards, and any relevant projects. This is your chance to demonstrate what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning. Practice coding challenges and be prepared to explain your thought process.
✨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 genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Associate, Quant Strategist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate, Quant Strategist role. Highlight your experience with Python, machine learning, and quantitative analysis. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Projects: If you’ve worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your coding skills and analytical abilities. We love seeing real examples of your expertise.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at TD
✨Know Your Quant Skills
Make sure you brush up on your quantitative analysis skills, especially in Python and SQL. Be ready to discuss specific projects where you've built models or tools, and how they contributed to decision-making processes.
✨Showcase Your Problem-Solving Mindset
Prepare examples that highlight your analytical and critical thinking abilities. Think of situations where you identified data patterns or resolved complex issues, and be ready to explain your thought process.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, like Tableau and Plotly. If you’ve used them before, be prepared to discuss how you’ve leveraged these tools to create dashboards or visualisations.
✨Engage with Stakeholders
Since the role involves liaising with various teams, think about how you can demonstrate your communication skills. Prepare to talk about times when you collaborated with others to deliver data-driven solutions or insights.
