Data Scientist, Investment Data

Overview

Data Scientist, Quantitative Equity – Connor, Clark & Lunn Investment Management (CC&L). Vancouver, BC.

We are a high-performance Quantitative Equity Team embedded in a top-performing quant fund. We aim to generate key investment insights and continuously prepare new data products for research by leveraging data analytics, finance knowledge, and cutting-edge technology.

What You Will Do

This is a full-time role for individuals excited to learn the quantitative equity investment management business and tackle a broad range of investment, mathematical, and technology challenges.

You will start with a comprehensive training program to learn about quantitative equity investment management and our investment process. You will then advance to a specialized role using data science, machine learning, AI, and process engineering to accelerate the Quantitative Equity Team’s data preparation and modelling functions. Your work will involve building, scaling, managing, and evaluating our integrated data model in direct support of alpha research.

You will be supported with coaching and mentorship from senior team members, with opportunities for steady career growth in data.

Responsibilities

Develop and continuously improve practical methods for named entity recognition (NER) and create knowledge graphs at scale

Create methods, algorithms & processes to identify, link, explore and assess billions of data points

Test structured and unstructured data sets for data quality and reliability

Collaborate with quantitative researchers to support alpha projects with data expertise

Collaborate with technology specialists to balance application performance and operational feasibility

Support production deployments to ensure long-term reliability

Ensure accessibility and clarity of work through robust documentation

Present findings and recommendations to key stakeholders clearly and concisely

What You Bring

Analytical mindset with critical and creative thinking and statistical validation

Practical experience building, validating, and enhancing ML / AI models on large data sets

Technical capability to solve challenging data problems with ambiguity and business trade-offs

Desire to acquire financial context to understand stakeholders and make data-driven decisions

Self-starter with accountability for quality and timeliness

Collaborative approach and ability to communicate complex concepts effectively

Time management to prioritize multiple projects

Academic background : Undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related field. Graduate degree is an asset

About Connor, Clark & Lunn Investment Management

CC&L Investment Management is a global institutional asset management firm established in 1982 and based in Vancouver, Canada. We manage a broad range of investment solutions, including traditional mandates and alternative strategies. CC&L is part of the CC&L Financial Group and affiliates manage over $167 billion in financial assets. We strive to create a diverse and inclusive environment and are an equal opportunity employer.

How to Apply

To apply for this position, please submit your resume, cover letter, and academic transcripts. We welcome candidates with different levels of experience, including interns, new graduates, and experienced professionals. The base salary range is $125,000 – $200,000 annually plus a competitive performance bonus. Compensation will be determined based on experience and qualifications. We thank all applicants for their interest; however, only those selected for an interview will be contacted. No telephone calls or agencies will be accepted. Successful applicants must be eligible to work in Canada on their start date.

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