09/26/2024

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

Are you ready to drive cutting-edge analytics and shape the future of decision-making within a leading financial institution? Join BMO’s dynamic Decision Science team in Chicago, where you'll play a pivotal role in developing and managing models that directly impact customer experiences, from loan approvals to portfolio management decisions.

Key Responsibilities:

- Lead in building adjudication and account management models that inform loan approvals, credit decisions, and portfolio management for millions of customers.

- Collaborate closely with business stakeholders to deliver analytical solutions that enhance customer experience and optimize credit risk strategies.

- Utilize your expertise to build, maintain, and continuously improve models that are foundational to our credit underwriting processes and portfolio strategies.

- Provide strategic guidance and mentorship to team members, including managing direct reports and external resources.

What We’re Looking For:

- 5+ years of experience in credit modeling and portfolio management within the banking or financial services industry.

- Strong technical skills in statistical modeling, risk management, or regulatory modeling.

- A master’s degree in a mathematical field such as statistics, mathematics, computer science, or a related discipline.

- A proven track record of leading projects and delivering impactful solutions in a fast-paced environment.

- Excellent communication and soft skills to effectively engage with stakeholders across different functions.

Location:

- This position is located in Chicago, IL and offers a hybrid work model with 2-3 days in the office

If you’re looking for your next dream job, consider this one in BMO’s Enterprise Risk Group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture.  #ERPMDreamJobs

Applies mathematical and statistical methods to financial and risk management problems (e.g. internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations). Through quantitative analytical modelling, identifies important factors to consider for financial disaster and recovery plans. Conducts research and creates tools that use data to develop scenario-based planning and implements complex mathematical models to help the business make better financial and financial decisions (e.g. investments, pricing, etc.), drive innovation and minimize the impact of uncertainty.

• Develops pricing and quantitative risk models for an assigned portfolio e.g. fixed income, corporate credit and loans.

• Monitors risk in strategies and portfolios alongside project managers or functional leads.

• Conducts research and develops tools that use data to make better financial decisions; such as: investments, pricing, etc.

• Applies knowledge of risk assessment and controls along with extensive understanding of industry compliance standards and regulations.

• Identifies ways of mitigating potential risks; recommends and implements solutions based on analysis of issues and implications for the business.

• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.

• Conducts quantitative research in risks across strategies and portfolios.

• 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:

• Regulatory capital and stress testing.

• Compliance and regulation.

• Machine learning.

• Learning Agility.

• Systems Thinking.

Advanced level of proficiency:

• Model risk management.

• Data visualization.

• Data wrangling.

• Data preprocessing.

• Critical thinking.

• Driving Results.

• Quantitative financial modeling.

• Computational thinking and programming.

• 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.

• Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Seasoned professional with a combination of education, experience and industry knowledge.

• Data driven decision making - In-depth / Expert.

Salary:

$120,000.00 - $222,600.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

We’re here to help

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.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. BMO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.