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Bank of Montreal

Runs Canadian and US banks for people and firms

Manager – Fraud Analytics

Data SciencePosted on Nov 10
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • Typically, 5–7 years of relevant experience and a post-secondary degree in a related field of study, or an equivalent combination of education and experience.
  • Intermediate proficiency in mathematics, statistics, and operations research.
  • Intermediate proficiency in deep learning, machine learning, trust, bias, and ethics.
  • Intermediate proficiency in creative thinking and critical thinking.
  • Advanced proficiency in big data, data visualization, computational thinking and programming, data wrangling, and data preprocessing.
  • Advanced proficiency in creative reasoning, verbal and written communication, collaboration and team skills, analytical and problem-solving skills, influence skills, and data-driven decision-making.
  • Deep knowledge and technical proficiency gained through extensive education and business experience.
  • Ability to take measured risks while applying the Risk Management Framework, acting within approved risk appetite, making risk-informed decisions, protecting assets, and adhering to applicable policies, laws, and regulations.

Responsibilities

  • Use advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data to obtain 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.
  • Advance data strategies to understand consumer trends and address business problems.
  • Mine and extract usable data from valuable data sources to assess the feasibility of artificial intelligence and machine learning solutions for improved data processing and use.
  • Conduct large-scale analysis 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; investigate additional technologies and tools for innovative data solutions for business stakeholders.
  • Collaborate with product teams and partners to support data-driven decision-making, business planning, and future roadmaps.
  • Provide specialized consulting, analytical, and technical support.
  • Exercise judgment to identify, diagnose, and solve problems within established rules.
  • Work independently and regularly handle non-routine situations.
  • Take measured risks while protecting the bank, applying the Risk Management Framework, and making sound, risk-informed decisions aligned with business strategy, risk appetite, policies, laws, and regulations.
  • Perform other broader work or accountabilities as assigned.

Desired Qualifications

  • Experience in fraud analytics or fraud detection.
  • Experience with FICO or FIQM.
  • Knowledge of Java.

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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