Raleigh, North Carolina, United States
7 hours ago
Principal Director, Credit Products
Description

Envestnet is seeking a passionate and talented Principal Director, Credit Products to join our Data and Analytics team.

Envestnet is transforming the way financial advice and wellness are delivered. Our mission is to empower advisors and financial service providers with innovative technology, solutions, and intelligence to make financial wellness a reality for everyone. 

Since our founding 20 years ago, we are fully vested in helping people live an intelligent financial life. If you love the idea of working in a Fintech company with the environment and excitement of a start-up where you are making everyday impact - then read on.

Job Summary:

At Envestnet Data & Analytics, we’re at the forefront of innovation, utilizing cutting-edge Machine Learning algorithms and Big Data Engineering frameworks. Our high-caliber, mission-driven culture empowers teams to tackle challenging and rewarding projects that drive impactful business decisions across the global financial services landscape. The Principal Director, Credit Products is responsible for leading the development and management of credit products and services, with a special focus on data-driven underwriting and risk management. This role involves strategic planning, product innovation, market analysis and product development to enhance the organization's credit offerings.

Job Responsibilities:

Define product vision for the suite of data-driven Credit Products in consultation with stakeholders across Business, Data Science, Technology and Consulting divisions.
Establish product-market fit for the Credit Products spanning the credit life cycle of origination, underwriting, revenue & risk forecasting and collection.
Develop optimal product compositions, features, pricing and partnership structures
Translate the vision into a viable roadmap, establish relevant milestones to deliver on the roadmap, communicate the vision and roadmap to clients, prospects and stakeholders.
Own competitive and market trends research
Build data-driven solutions to identify financial transactions-based patterns of debt composition, stability and predictability of cash flow
Build data-driven solutions to generate pre-qualification ranking for different credit products
Quantify and predict risk of a portfolio
Develop optimal, production-ready solutions that adhere to constraints of cost, time, and quality
Lead cross-functional teams to create Credit Products that integrate into the rest of Envestnet’s tools and products
Effectively communicate business context, solutions, and implications to team members, global leadership and stakeholders
Identify and address client challenges using data-driven insights
Mentor and guide team members and foster their professional growth
Cultivate a culture of innovation within the organization
Ensure adherence to Envestnet's legal, compliance, risk, and administrative policies, including timely completion of necessary training and testing
Support Envestnet's corporate practices, policies, and internal controls to create value and minimize risk.
Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested.  
As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk.

Required Qualifications:

12+ years of experience in strategizing, building and deploying Credit Products
Proven track record of taking data-driven Credit Products to market
5+ years of experience in Data Science / Machine Learning
Master’s degree in computer science or any other relevant field
Deep understanding of statistical modeling and machine learning techniques, with a particular focus on the techniques used in the credit lifecycle
Strong programming skills in Python and familiarity with ML frameworks
Exceptional analytical and quantitative problem-solving skills
Strong interpersonal and communication abilities, with a talent for conveying actionable data narratives to diverse audiences
Effective stakeholder management skills, adept at collaborating with internal and external clients throughout the solution development lifecycle
Excellent team management capabilities, balancing technical expertise with the ability to set aspirational objectives for the team
Cross-functional leadership experience, guiding teams from data science, engineering, operations, and business analytics to deliver projects end-to-end

About Us:

Envestnet is a leading independent provider of technology‐enabled investment and practice management solutions to financial advisors who are independent, as well as those who are associated with small or mid‐sized financial advisory firms and larger financial institutions. Envestnet's technology is focused on addressing financial advisors' front, middle, and back‐office needs while leveraging our platform to grow their businesses and expand client relationships.

We offer a highly competitive compensation and benefits package as well as the excitement, challenges, and rewards of a fast-growing, entrepreneurial company.

Why Choose Envestnet:

Be a member of a leading financial services and products innovation company 
Competitive Compensation/Total Reward Packages that include:
Health Benefits (Health/Dental/Vision)
Paid Time Off (PTO) & Volunteer Time Off (VTO)
401K – Company Match
Annual Bonus Incentives
Parental Stipend 
Tuition Reimbursement
Student Debt Program
Charitable Match 
Wellness ProgramWork on global projects with diverse, energetic, team members who respect each other and celebrate differences.

Salary:

The annual base salary range for this position is $164,000 to $246,000. 

Envestnet is an Equal Opportunity Employer.

 Envestnet refers to the family of operating subsidiaries of the public holding company, Envestnet, Inc. (NYSE: ENV).

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