Senior Data Scientist – CID&A

Requisition ID: 193339

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

CID&A is looking for a Senior Data Scientist to drive data science projects focused on Fixed Income, Currencies and Commodities (FICC) markets. The ideal candidate will possess strong understanding of derivatives pricing and products traded.  As a key member of our team, you will collaborate with traders, researchers and developers to innovate solutions that leverage quantitative finance as well as modern machine learning approaches.

Is this role right for you? In this role, you will: 

• Design, develop and implement a framework to build quantitative models for derivatives pricing and hedging
• Risk management and trading strategies blending traditional quant finance with modern machine learnings approaches.
• Analyze large amounts of data to derive insights and communicate complex quantitative insights/concepts to non-technical stakeholders.  
• Perform testing and validation of models to ensure accuracy, robustness and consistency across different market regimes. 
• Stay abreast of latest developments in quant finance, data science and incorporate relevant advancements into our methodologies and frameworks.
• Provide expertise and guidance to junior team members, fostering a culture of continuous learning and development within the team.

Do you have the skills that will enable you to succeed in this role?  We’d love to work with you if you have experience with:

• Master’s or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or a related discipline,
• Solid academic background in Quantitative Finance
• Minimum of 2 years experience interacting with front office or institutional clients in a trader/researcher capacity in one of the above mentioned markets. 
• Minimum of 3 years hands-on experience as a data scientist
• Good understanding of time series universe including supervised, unsupervised and classical time series approaches is a must.
• Proficiency in Python and SQL. Hands-on experience in working with and reconciling big data sets using technologies such as Hive/PySpark,
• Understanding of machine learning and interpretability
• Strong presentation and communication skills.

What’s in it for you?

•    The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers.
•    A rewarding career path with diverse opportunities for professional development
•    Internal training to support your growth and enhance your skills.
•    An inclusive working environment that encourages creativity, curiosity, and celebrates success!
•    Work in an Ecosystem; a space where you’ll have access to group seating, offices, collaboration spaces, a cafeteria with different options daily, and more
•    Hybrid Work Environment

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: “for every future”, we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.