BMO U.S.
Overview
Join to apply for the
Senior Analyst, Data Sciences
role at
BMO U.S. The Senior Analyst, Quantitative Analysis, Strategy and Insights in Corporate Treasury is ideal for candidate who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability, liquidity, and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.
What the successful candidate can do
Effectively apply knowledge of advanced analytic algorithms and modeling techniques (e.g. large data processing, statistical modeling, machine learning) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity.
Confidently and clearly communicate and summarize statistical/algorithmic findings. Draw business conclusions and present actionable insight in a way that resonates with business/groups (i.e., story-telling skills).
Drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in alignment with Data & AI governance frameworks of BMO.
Responsibilities
Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
Develops analytical solutions by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, and refine hypotheses.
Summarizes statistical findings and draws conclusions, presenting actionable business recommendations in a simple, clear way to drive action.
Uses appropriate algorithms to discover patterns and performs experimental design approaches to validate findings or test hypotheses.
Automates and enhances processes to generate scheduled reports detailing accurate balance sheet position and actionable analytical insights to stakeholders in an efficient and timely manner.
Works with data owners to discover and select available data from internal sources and external vendors (e.g., lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes. Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
Builds effective relationships with internal/external stakeholders and ensures alignment. Provides advice and guidance to assigned business/group on implementation of analytical solutions.
Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
Leads/participates in the design, implementation and management of core business/group processes.
Broader work or accountabilities may be assigned as needed.
Qualifications
Typically between 1-2 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
Experience in statistical analysis, data mining, and data cleansing / transformation.
Knowledge of visualization techniques and concepts (e.g., Power BI, SpotFire).
Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Matlab) and machine learning / deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML).
Knowledge of distributed computing and/or distributed databases. Experience with distributed computing language (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML).
Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations.
Data driven decision making - In-depth.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth. Analytical and problem solving skills - In-depth. Influence skills - In-depth.
Technical proficiency gained through education and/or business experience.
Additional qualifications and responsibilities
Uses advanced analytical algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals to optimize, refine and scale analysis into mature analytics solutions.
Puts focus on futuristic data display and innovative data strategies to understand consumer trends and address business problems.
Uses data mining to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis to discover patterns and trends by combining modules and algorithms. Provides data-driven recommendations to business leaders to maintain market competitiveness.
Develops prediction systems and machine learning algorithms. Explores additional technologies for developing innovative data solutions for stakeholders.
Collaborates with product teams and partners to provide data-driven decision making and future roadmap.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on complex tasks.
Compensation and Benefits
Salary: $69,000.00 - $127,800.00
Pay Type: Salaried
The above represents BMO Financial Group’s pay range and type. Salaries will vary based on location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated. For commission roles, the salary listed above represents BMO’s target for the first year.
BMO’s total compensation package will vary based on pay type and may include performance-based incentives, discretionary bonuses, and other perks. Benefits include health insurance, tuition reimbursement, life and accident insurance, and retirement savings plans. Details at: https://jobs.bmo.com/global/en/Total-Rewards
About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses and power economic growth around the world.
We are committed to equal employment opportunity. We evaluate applicants without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, or any other protected characteristics. We provide reasonable accommodations to individuals with disabilities. If you need an accommodation, please contact BMOCareers.Support@bmo.com.
Additional Note: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Refer to the job board for location, seniority level, employment type, and job function details.
#J-18808-Ljbffr
Join to apply for the
Senior Analyst, Data Sciences
role at
BMO U.S. The Senior Analyst, Quantitative Analysis, Strategy and Insights in Corporate Treasury is ideal for candidate who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability, liquidity, and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.
What the successful candidate can do
Effectively apply knowledge of advanced analytic algorithms and modeling techniques (e.g. large data processing, statistical modeling, machine learning) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity.
Confidently and clearly communicate and summarize statistical/algorithmic findings. Draw business conclusions and present actionable insight in a way that resonates with business/groups (i.e., story-telling skills).
Drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in alignment with Data & AI governance frameworks of BMO.
Responsibilities
Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
Develops analytical solutions by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, and refine hypotheses.
Summarizes statistical findings and draws conclusions, presenting actionable business recommendations in a simple, clear way to drive action.
Uses appropriate algorithms to discover patterns and performs experimental design approaches to validate findings or test hypotheses.
Automates and enhances processes to generate scheduled reports detailing accurate balance sheet position and actionable analytical insights to stakeholders in an efficient and timely manner.
Works with data owners to discover and select available data from internal sources and external vendors (e.g., lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes. Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
Builds effective relationships with internal/external stakeholders and ensures alignment. Provides advice and guidance to assigned business/group on implementation of analytical solutions.
Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
Leads/participates in the design, implementation and management of core business/group processes.
Broader work or accountabilities may be assigned as needed.
Qualifications
Typically between 1-2 years of relevant experience and graduate-level degree in related field of study or an equivalent combination of education and experience.
Experience in statistical analysis, data mining, and data cleansing / transformation.
Knowledge of visualization techniques and concepts (e.g., Power BI, SpotFire).
Experience with programming languages (e.g., SQL, Python, R, SAS, SPSS, Matlab) and machine learning / deep learning algorithms/packages (e.g., XGBoost, H2O, SparkML).
Knowledge of distributed computing and/or distributed databases. Experience with distributed computing language (e.g., Hive / Hadoop/ Spark) & cloud technologies (e.g., AWS Sagemaker, AzureML).
Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on a range of complex tasks, which may include unique situations.
Data driven decision making - In-depth.
Verbal & written communication skills - In-depth.
Collaboration & team skills - In-depth. Analytical and problem solving skills - In-depth. Influence skills - In-depth.
Technical proficiency gained through education and/or business experience.
Additional qualifications and responsibilities
Uses advanced analytical algorithms and technologies (e.g., machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals to optimize, refine and scale analysis into mature analytics solutions.
Puts focus on futuristic data display and innovative data strategies to understand consumer trends and address business problems.
Uses data mining to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis to discover patterns and trends by combining modules and algorithms. Provides data-driven recommendations to business leaders to maintain market competitiveness.
Develops prediction systems and machine learning algorithms. Explores additional technologies for developing innovative data solutions for stakeholders.
Collaborates with product teams and partners to provide data-driven decision making and future roadmap.
Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. Exercises judgment to identify, diagnose, and solve problems within given rules. Works independently on complex tasks.
Compensation and Benefits
Salary: $69,000.00 - $127,800.00
Pay Type: Salaried
The above represents BMO Financial Group’s pay range and type. Salaries will vary based on location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated. For commission roles, the salary listed above represents BMO’s target for the first year.
BMO’s total compensation package will vary based on pay type and may include performance-based incentives, discretionary bonuses, and other perks. Benefits include health insurance, tuition reimbursement, life and accident insurance, and retirement savings plans. Details at: https://jobs.bmo.com/global/en/Total-Rewards
About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses and power economic growth around the world.
We are committed to equal employment opportunity. We evaluate applicants without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, or any other protected characteristics. We provide reasonable accommodations to individuals with disabilities. If you need an accommodation, please contact BMOCareers.Support@bmo.com.
Additional Note: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Refer to the job board for location, seniority level, employment type, and job function details.
#J-18808-Ljbffr