Senior Manager - Algorithmic Development

Develops strategies, researches and designs algorithms after analysing an assigned portfolio/market. Develops algorithms to build models that uncover connections and make better decisions without human intervention. Communicates strategies with other developers to help code the strategies – including evaluating algorithms and altering them as needed. Works closely with quantitative developers, technologists as well as trading desks to build out a multi-strategy algorithmic trading framework.

• Designs, implements and tests statistical models and algorithms​.
• Works with business stakeholders to understand strategies and build new algorithms and customizations in support of strategies.​
• Tailors the algorithmic container to meet the demand and develop to support more sophisticated algorithmic strategies​.
• Backtests the trading strategy to validate whether the trading strategy is successful or not. ​
• Creates intuitive real-time visualizations to demonstrate algorithm operation​s.
• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
• Ensures alignment between values and behaviour that fosters diversity and inclusion.
• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
• Attracts, retains, and enables the career development of top talent.
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
• Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
• Implements changes in response to shifting trends.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Econometrics.
• Building and managing relationships.
• Emotional agility.
• Managing change.
• Negotiation and influencing.

Advanced level of proficiency:

• Computer Science.
• Programming.
• Back testing.
• Creative thinking.
• Statistics and Statistics Analysis.
• Complex mathematical concepts.
• Logical reasoning.
• Finance and Financial Market.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Post-secondary degree in related field of study.
• Seasoned professional with a combination of education, experience and industry knowledge.