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Bank of Montreal

Runs Canadian and US banks for people and firms

Managing Director – Data and AI

Applied Machine LearningPosted on Nov 13
Full-timeIrving, TX, USAIn-person

About the Job

Requirements

  • Typically 9+ years of relevant experience and/or certification in a related field of study, or an equivalent combination of education and experience.
  • Expert-level proficiency in mathematics, statistics, and operations research.
  • Expert-level proficiency in deep learning and machine learning.
  • Expert-level proficiency in trust, bias, and ethics.
  • Expert-level proficiency in creative thinking and critical thinking.
  • Expert-level proficiency in big data and data visualization.
  • Expert-level proficiency in computational thinking and programming.
  • Expert-level proficiency in data wrangling and data preprocessing.
  • Expert-level proficiency in creative reasoning.
  • Expert-level verbal and written communication skills.
  • Expert-level analytical and problem-solving skills.
  • Expert-level influence skills.
  • Expert-level collaboration and teamwork skills, with a focus on cross-group collaboration.
  • Ability to manage ambiguity.
  • Expert-level data-driven decision-making skills.
  • Seasoned expert with extensive industry knowledge.
  • Technical leader viewed as a thought leader for innovation.

Responsibilities

  • Use advanced analytical algorithms and technologies, including machine learning, deep learning, and artificial intelligence, to mine and analyze large structured and unstructured data sets for insights.
  • Design and construct new processes for modeling data.
  • Develop predictive models and use big data technology to design solutions that improve business decisions, customer experience, and productivity.
  • Collaborate with data and analytics professionals and teams to optimize, refine, and scale analysis into mature analytics solutions.
  • Contribute to the presentation and visualization of data and advance data strategies to understand consumer trends and address business problems.
  • Mine and extract usable data from valuable sources to assess the feasibility of artificial intelligence and machine learning solutions for improved processing and use of organizational data.
  • Conduct large-scale analyses to discover patterns and trends by combining different modules and algorithms.
  • Use analysis to provide recommendations and advice to business leaders to maintain market competitiveness.
  • Develop prediction systems and machine learning algorithms, and investigate additional technologies and tools for innovative data solutions for business stakeholders.
  • Collaborate with the product team and partners on data-driven decision-making, business planning, and future roadmaps.
  • Foster a culture aligned with BMO’s purpose, values, and strategy, and model BMO’s values and behaviours.
  • Ensure alignment between values and behaviour that fosters diversity and inclusion.
  • Connect work to BMO’s purpose, set goals, define expected outcomes, and ensure accountability for follow-through.
  • Build interdependent teams that collaborate across functional and operating groups to create value for stakeholders.
  • Attract, retain, and enable the career development of top talent.
  • Improve team performance, recognize and reward performance, coach employees, support their development, and manage poor performance.
  • Operate at a group or enterprise-wide level and serve as a senior specialist resource across BMO.
  • Influence how teams and groups work together.
  • Apply expertise and creative thinking to address unique or ambiguous situations and solve complex, interdependent problems.
  • Communicate abstract concepts in simple terms.
  • Foster strong internal and external networks and work across multiple teams to achieve business objectives.
  • Anticipate trends and implement appropriate changes.
  • Take measured risks while applying the Risk Management Framework and Risk Culture, making risk-informed decisions aligned with business strategy and approved risk appetite, protecting assets, and adhering to applicable policies, standards, procedures, laws, and regulations.

About the Company

Bank of Montreal

Runs Canadian and US banks for people and firms

Bank of Montreal, known as BMO, runs a Canadian bank and a large American bank, serving households and businesses on both sides of the border. Until the Bank of Canada opened in 1935, it acted as the Canadian government's banker. People use its branches and apps for accounts, mortgages, credit cards, and investments, while companies borrow from it and turn to its BMO Capital Markets arm to raise money and trade securities. BMO makes money on the gap between the interest it charges on loans and pays on deposits, plus fees from managing wealth and advising on deals. Bank of Montreal was founded in 1817 as Canada's first bank, and it keeps its legal head office in Montreal and its executive offices in Toronto, Canada.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1817

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