Associate, Quantitative Data Engineer, Platform Solutions

Company Description

Make an impact at a global and dynamic investment organization

When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.

CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.

CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:

• Stimulating work in a fast-paced and intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Diverse and inspiring colleagues and approachable leaders
• A hybrid-flexible work environment with an emphasis on in-person collaboration
• A culture rooted in principles of integrity, partnership, and high performance
• An organization with an important social purpose that positively impacts lives

If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here. 

Job Description

Active Equities is looking to establish a world class solutions enablement function - Platform Solutions, that will empower our edge by overseeing the design, procurement, and development of the infrastructure, data, and tools leveraged across the department. Reporting to the Managing Director of Platform Solutions, the Quantitative Data Engineer will be responsible for maintaining the investment content on behalf of the department acting as a product owner for key data products. This will involve cleaning, enriching, normalising and supporting datasets that are leveraged by various investment teams. You must be a very self-motivated individual and be able to proactively operate in a cross-functional team that is extremely motivated to deliver business results. Through close partnership with investment professionals, you will see firsthand how your contribution is delivering long-term value to the CPP Fund for the benefit of 20 million CPP contributors and beneficiaries.

Accountabilities:

• Work in a fast-paced environment to build cutting edge data and analytical products that are leveraged directly by investment professionals.
• Build out core data products such as structured time-series data for internally generated data, market data and fundamental data by applying content domain expertise.
• Develop robust data pipelines to enable the systematic creation of features, portfolios and forecasts.
• Leverage advanced tools like Databricks and work with SQL/Pyspark to implement complex time series analytics and feature generation.
• Lead the development and execution of advanced prototypes and products including forecast and backtest engines.

Qualifications

• University degree in Engineering, Computer Science or Math preferred.
• Hands on experience working with financial times series point-in-time data (e.g. market, fundamental and alternative).
• Strong communication skills to enable effective collaboration with various stakeholders and key partners across the department and the organization.
• Experience working with investors (e.g. quantitative or fundamental) is desirable.
• Experience using cloud computing platforms and associated services (e.g. AWS, GCP or Azure).
• Exposure to cloud data and analytics platforms (e.g. Databricks and Snowflake).
• Practical knowledge of data engineering concepts and best practices, including testing frameworks and libraries, automation.
• Proficient at coding in Python and SQL.
• Familiar with one or more analytic tools (e.g. Tableau, AWS QuickSight, Looker and Streamlit).
• Experience building flexible solutions that can adapt quickly to changing requirements.
• Adaptable to new technologies and challenges not previously encountered.
• The ideal candidate will possess a minimum of 3 years of experience working for an investment management firm in a similar role.  

Additional Information

Visit our LinkedIn Career Page or Follow us on LinkedIn. #LI-AP1 #LI-Onsite

At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. 

Our Commitment to Inclusion and Diversity:

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered.  CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.