Senior Manager, Data Science Consulting
Nova CreditNew York, NY$163k – $199kPosted 9 January 2025
Job Description
Update January 9, 2025:
Hi there! This role is still open- if interested, please do apply! :)
Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly through alternative credit data. As a Consumer Reporting Agency (CRA), Nova Credit leverages its unique data infrastructure, compliance framework, and credit expertise to help lenders fill critical gaps in traditional credit analytics. The company transforms the fragmented universe of consumer financial data into compliant, actionable risk insights through a comprehensive platform designed to increase conversion through expanded coverage, speed, and reliability. Leading organizations, including JPMorgan Chase, PayPal, HSBC, SoFi, Scotiabank, AppFolio, and Yardi, work with Nova Credit to make smarter credit decisions through cash flow underwriting with Cash Atlas™, quickly verify income with Income Navigator, and reach new-to-country consumers with Credit Passport®. With support from investors Canapi Ventures, Kleiner Perkins, General Catalyst, and Index Ventures, as well as industry veterans from Goldman Sachs, JP Morgan, and Citi, Nova Credit is revolutionizing the way lending is done. We were recently named in Forbes’ Fintech 50 in 2025 and Built In’s Best Places to Work, 2025 .
Nova Credit offers a dynamic and inclusive work environment where you can meaningfully impact the lives of people historically excluded from the credit system. We value diversity, intellectual honesty, and innovation and are committed to supporting our team members' professional growth and development. If you're passionate about leveraging technology to drive financial inclusion, we want to hear from you!
You will be part of the Go-To-Market team, playing an essential role in engaging and educating our prospects through the sales process. You will serve as a consultative product expert who helps potential clients unlock business value by engaging senior stakeholders on credit policy, product usage, and performance analyses. Internally, you will be well-connected, working cross-functionally with Sales, Product, and Data Science. You will engage with our worldwide target audience in the US, Canada, the UK, the UAE, and Singapore.
You should be experienced in financial services with both the credit risk modeling and credit policy landscapes. Ultimately, the Senior Manager, Data Science Consulting will ensure that Nova Credit’s prospect base fully understands our product offerings and how best to incorporate them within their existing strategies.
This is a full-time, NYC-preferred position. Travel to Nova Credit offices (New York and San Francisco), prospect sites, and conferences required up to 25% of time. Work hours flexibility is necessary, given the global scope of this role.
NYC-based candidates will be required to be in our Flatiron office (3 days per week on Mondays, Tuesdays, and Thursdays).
WITHIN THE FIRST MONTH, YOU'LL
Establish a deep understanding of Nova Credit’s products, strategies, and data
Partner with the Sales team to understand our prospect engagement models
Shadow your first external meetings
WITHIN THE FIRST QUARTER, YOU'LL
Partner with Account Executives to own meetings, providing education and analyses to prospects
Collaborate and influence with prospect teams to shape their testing and KPIs, maximizing the value of our data in their lending and decision frameworks
Influence product strategy based on feedback from the market and your own experiences
WITHIN THE FIRST YEAR, YOU'LL
Scale the consulting function via the creation of processes and content
Shape the trajectory of Nova Credit by working cross-functionally with Sales and Data Science to prioritize road map activities
Drive revenue for Nova Credit and our customers by influencing stakeholder teams and policies
YOUR SKILLSET
5+ years of experience in financial services or credit with a focus on credit policy or data science
2+ years experience in extern ... (truncated, view full listing at source)
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