Data Analyst

At Nova Credit, our mission is to power a more fair and inclusive financial system for the world. Nova Credit’s diverse global team is stitching together the world's credit data into a single network to unlock financial opportunities for immigrants and other populations historically excluded from the credit system. We’ve built a platform that enables lenders to access a single, predictive cross-border credit database to help enable underwriting decisions. We are backed by leading investors, including Kleiner Perkins, General Catalyst, and Index Ventures, and are proud recipients of the following awards:

- Forbes’ Best Startup Employers 2022 ^[1]- BuiltIn NYC's Best Places to Work 2022: Best Small Companies to Work For ^[2]- Fast Company’s World’s Most Innovative Social Good Companies 2022 ^[3]

In International Data & Analytics, you will play an essential role in researching, designing, and building Nova Credit’s global data and analysis strategy. You will serve as a conduit to bring key functions together, including data partnerships, risk & analytics, product & engineering, and customer success to develop and implement Nova Credit’s core data systems. You will work with customer-facing teams to analytically demonstrate the strength of Nova Credit’s products and services. Ultimately, your role is to ensure that Nova Credit’s products deliver high-quality predictive risk signals. Every initiative you work on will be critical for the company’s success.

RESPONSIBILITIES:

Risk Analytics: Leverage and integrate data streams to deliver reporting and analytic insights with a focus on providing end users with superior credit, risk, affordability, and underwriting strategies
Data & Analytics Strategy: Research and contribute to the formulation of Nova Credit's long-term data strategy with global credit bureaus, alternative data providers, and evolving predictive data sources
Business Support: Develop a robust customer-facing knowledge base and set of tools to communicate the intricacies of Nova Credit’s platform, bureau integrations, and data assets. Support Business Development and Success teams in product expansion, inquiry, and resolution work streams.
Credit Data Administration: Manage and organize data libraries for each international credit bureau; support queries on credit data mapping and alignment for each country; design and manage credit data intranet, ensuring data is accurate and accessible

YOUR SKILLSET:

2+ years of experience working with consumer credit data, consumer credit risk analytics/modeling, and/or underwriting strategy development
Technical skills: SQL, R, Python
MBA/MS degree; relevant Master’s preferred (e.g., Statistics, Economics)
Intellectual curiosity is essential, along with creativity and technical expertise, as you work with data from diverse sources to develop powerful insights
Strong interpersonal skills (including technical communications) to develop and manage multiple external relationships and coordinate resources cross-functionally with multiple internal teams, to deliver an excellent client experience
Experience in consumer financial services; a capacity to develop simple industry-standard analyses and tools

SAMPLE PROJECTS:

Integrate a new international credit bureau in collaboration with our engineering team
Provide credit risk insights from existing Nova Credit data integrations, leveraging SQL & Python
Conduct data quality/integrity checks using R or Python

$106,000 - $140,000 a yearThe base salary range is for U.S.-based candidates and is dependent on individual experience, skills, education, location, and qualifications. We consider all compensation elements as part of the value we provide to Novans. This may include base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. We offer U.S.-based Novans competitive, employer-subsidized medical, dental, and vision plans, in addition to mental health and wellness benefits and a range of other benefits & perks.Everyone is welcome at Nova Credit. We are an equal-opportunity employer where our diversity and inclusion are central pillars to our company strategy. We look for applicants who understand, embrace, and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-RemoteApply for this job ^[4]