Associate Director, Risk and Advanced Analytics - #261628

Position is located in the Norwalk, CT or Itasca, IL office 5 days a week.

Position Overview

As an Associate Director, Risk and Advanced Analytics at MHCA, you will lead efforts to enhance the firm’s credit and enterprise risk management through advanced analytics and data science. This is a risk analysis role as well as an advanced analytics role dedicated to successfully managing the firm’s credit and enterprise risk.

You’ll collaborate across teams to identify opportunities, drive change, and communicate insights clearly to both technical and business stakeholders. A strong foundation in advanced analytics, credit risk strategy, SQL, statistical theory, and enterprise analytics tools are essential. Recent experience in analytics, particularly in financial services, is highly valued.

As MHCA’s analytics capabilities grow, you’ll have the opportunity to expand into machine learning, Databricks, Python-based modeling, and data visualization, while also mentoring colleagues in these tools and techniques.

Commitment To Internal Control

The Associate Director Risk and Advanced Analytics is required to possess a comprehensive understanding of and adhere to the system of internal controls associated with the fundamental duties and responsibilities of the role. This includes compliance with SOX and all other pertinent regulatory and compliance policies and requirements.

Essential Duties and Responsibilities: (List in order of time spent)

Risk Analytics

• Optimize Credit Risk’s analytical capabilities, data driven decisioning, and overall performance.
• Drive business results by enhancing MHCA’s data continuum including data architecture, data analytics, and data governance and their unique interdependence.
• Create useful, timely, and actionable analytical views based on large structured and unstructured data sets.
• Ensure analytical views foster action and inform decisioning to enhance critical business processes and maximize outcomes.
• Communicate analytical positions, and recommendations to stakeholders through clear and compelling data visualizations, reports, and presentations.
• Determine appropriate data providers (3rd party/bureau) and develop relationships focused on data collection, and integration efforts, including bureau archives, bureau attribute selection, third party scores, internal data repositories, and reporting tools.
• Perform credit buy-box analytics for MHCA ensuring that MHCA is decisioning various credit segments in an optimized manner (approve/decline decisions, as well as structuring decisions).
• Develop consistent, repeatable, and reliable data and analysis packages aimed toward changing the way we do business. Output to include both high-level summaries and smaller scale/ portfolio specific reviews.
• Utilize analytical skill set to monitor, manage, and improve portfolio trends and key inflection points affecting predictiveness in credit models and evaluation tools. Drive effectiveness and consistency in underwriting processes to maintain health and stability in the various lease and loan portfolios.
• Develop and maintain analytical products that promote accuracy in credit scoring and credit risk identification and assessment.
• Promote profitability through development, rollout, and day-to-day management of an effective and repeatable pricing strategy & framework across business verticals.
  
  

Advanced Analytics

• Design and development of enterprise-grade deep analytics.
• Explore and analyze large, complex datasets to identify patterns, trends, and correlations.
• Implement automation and streamline processes to optimize the entire data and analytics platform, ensuring efficient throughput and high-performance outcomes.
• Lead comprehensive initiatives to democratize the use of advanced analytics tools such as Python, SQL, and Databricks across the Risk and Strategic Planning teams.
• Partner with the Data Technology team on the design, development, implementation, operation, and ongoing support of critical systems and tools.
• Maintain proficiency with top industry analytical tools and systems.
• Train Risk Management and Strategic Planning colleagues on these tools.
• Explore and grasp emerging technologies while collaborating closely with peer teams to establish strategic roadmaps and priorities.
• Stay abreast of the latest advancements in data science, machine learning, and analytics technologies, including enterprise-scale model development.
• Represent Risk Management and Strategic Planning in Data Technology team design discussions, code reviews, and project-related meetings.
• Work closely with Data Technology team to develop Power BI/SalesForce dashboard views for several segments of the business.
  
  

KPI’s (Key Performance Indicators)

• Enterprise reporting and analytics.
• Transparency and accessibility, i.e., increase and enhance the amount of portfolio data and analytics recorded in central repository and made available for process and performance improvement.
• Model Risk Management.
• Improved performance of regular enterprise-wide model testing and overall validation of credit adjudication and other predictive models.
• Performance forecasting.
• Enhanced ability to assess market and industry trends to proactively maximize portfolio performance.
• Reserve/write-off approach.
• Utilization of more robust quantitative and qualitative model inputs via back testing and analyzing point in time allowance vs. actual lifetime loss performance.
• This position is expected to help drive credit/risk strategy throughout the organization and will be monitored on their effectiveness.
• In addition to previously listed KPI’s SVP Credit Planning will evaluate the performance of the individual in this position by reviewing the quality of the work produced within the above-mentioned set of responsibilities.
  
  

Responsibility and Decision-Making Authority:

• Act independently; Decision-making within Company policy.
  
  

Management/Supervisory Responsibilities

• None
  
  

Qualifications

• Demonstrated expertise in developing and executing credit risk strategies within financial institutions.
• Strong track record of applying advanced analytics to solve business problems in banking or financial services.
• Strong ability to communicate analytical positions in both written and verbal form throughout all parts of the business and to all levels of MHCA colleagues.
• Excellent communication and collaboration skills, with the ability to distill complex technical concepts into understandable insights for non-technical stakeholders.
• Ability to clearly articulate analytical insights in both written and verbal formats across all levels of the organization.
• Proficiency in programming languages such as Python, or SQL with SAS experience in data manipulation, statistical analysis, and machine learning.
• Cloud-Based Data Science Experience: Experience developing and deploying Data Science solutions leveraging components like Azure OpenAI and Azure Notebooks.
• Solid understanding of the banking and financial services business model and regulatory landscape.
• Strong analytical mindset with experience in building, assessing, and validating predictive performance models.
• Experienced process mapping/ workout skill set with keen ability to identify process gaps and improvement opportunities.
• Strong expertise in data visualization tools such as PowerBI or Tableau.
• Strong problem-solving skills and a passion for driving business impact through data-driven decision-making.
• Experience working with data integration techniques & self-service data preparation.
  
  

Competencies :

• Thinking Skills – Cognitive Ability, Analytical Ability, Problem-Solving
• Detail-oriented with a high degree of thoroughness and precision in analytical work.
  
  

Education and Experience:

• Bachelor’s degree or equivalent experience.
• 15+ years of relevant industry experience.
• Must have experience in training colleagues on programming languages/ analytical tools such as Python, SQL, and SAS with experience in data manipulation, statistical analysis, and machine learning.
• Leading data science initiatives and statistical modeling projects in enterprise environments.
  
  

Licensing and Certification:

• N/A
  
  

Tools And Equipment Used

• Personal computer, copier, phone, and other typical office equipment
  
  

Working Hours

• Hours may vary and will require some evening work; frequently requires working 40-45 hours/week depending on business needs
  
  

Travel

• Occasional travel related to attendance at industry seminars
  
  

Physical Demands

• Digital dexterity and hand/eye coordination in operation of office equipment
• Light lifting and carrying of supplies, files, etc.
• Ability to speak to and hear customers and/or other employees via phone or in person
• Body motor skills sufficient to enable incumbent to move from one office location to another
  
  

The job description does not constitute an employment contract, implied or otherwise, other than an “at will” relationship and is subject to change by the employer as the needs of the employer and requirements of the job change.

The position is an exempt role and the salary will be between $160,000 and $192,000 with an opportunity to earn a discretionary bonus.

The salary range is determined and based on internal equity, market data/ranges, applicant's skills, prior relevant experience and education.

Additional Benefits

• Medical, Dental, and vision plans
• 401(k) and matching
• Paid Time Off
• Company Paid Life Insurance
• Employee Assistance Program
• Training and Development Opportunities
  
  

- Employee Discounts