Senior Data Engineer
Toronto, ON · Remote
Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...
Senior Data Engineer
Toronto, ON · Remote
Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...
Remote Algorithmic Trading Quant information
What are the key skills and qualifications needed to thrive as a Remote Algorithmic Trading Quant, and why are they important?
To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.
What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?
Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.
What is a Remote Algorithmic Trading Quant?
A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.
What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?
| Aspect | Remote Algorithmic Trading Quant | Remote Quantitative Analyst |
|---|---|---|
| Credentials | Degree in finance, computer science, or mathematics; coding skills; experience with trading algorithms | Degree in finance, economics, mathematics; statistical and analytical skills; programming knowledge |
| Work Environment | Financial firms, hedge funds, trading firms; focus on developing and testing trading algorithms | Financial institutions, investment firms; focus on data analysis, modeling, and risk assessment |
| Industry Usage | Common in trading and hedge fund industries | Widespread across finance, banking, and investment sectors |
The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.
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JLL rating
8.2
Based on 266 frontline employees who took The Breakroom Quiz
37th of 152 rated real estate companies
Job description
JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented peopleand empowering them tothrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Senior Data Engineer - JLL
What this job involves:
As a Senior Data Engineer at JLL, you will leverage advanced technical expertise and enterprise-focused thinking to drive AI-powered automation that achieves strategic business objectives. This role positions you as a technical leader who mentors team members, shapes business and regulatory requirements, and architects innovative data solutions that deliver measurable organizational value. You'll design cutting-edge automated frameworks, develop platform features with cross-functional alignment, and use compelling storytelling to build consensus across diverse stakeholder groups-all while significantly impacting JLL's Data Engineering strategy and the future of real estate technology.
What your day-to-day will look like:
Design and build advanced reusable and automated frameworks for enterprise-scale data processing and analytics
Architect comprehensive data solutions integrating multiple Azure services, AI capabilities, and cloud technologies aligned with strategic business goals
Lead complex technical problem-solving initiatives, root cause analysis, and strategic decision-making for critical data systems
Mentor junior and intermediate data engineers on advanced concepts, best practices, and emerging technologies
Collaborate with senior stakeholders to influence business requirements and align technical solutions with enterprise objectives
Develop AI-powered solutions and automation frameworks that drive measurable business outcomes
Champion data engineering best practices, standards, and innovation across the organization through thought leadership
Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline
5-8 years of experience in data engineering with proven track record of technical leadership and enterprise-scale solution delivery
Expert Python programming skills including inheritance, reflection, meta-programming, and advanced design patterns
Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs) and cloud-native architecture
Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
Demonstrated experience mentoring engineers and influencing technical strategy with measurable impact
Preferred Qualifications:
Master's degree in Computer Science, Data Science, or related technical discipline
Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts
Experience with microservices architecture and full-stack data solution development
Strong system design and architecture skills for complex, cross-functional data platforms
Track record of driving process improvement and technical innovation in enterprise environments
Advanced data visualization and storytelling skills for building stakeholder consensus
Experience leading strategic data engineering initiatives that shape organizational direction
Estimated compensation for this position:
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
Remote -Toronto, ONOpening Type:
New RoleIf this job description resonates with you, we encourage you to apply even if you don't meet all of the requirements. We're interested in getting to know you and what you bring to the table!
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you'repursuing.
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