Senior Marketing Data Science Associate, Avant
$115-160k
This role is eligible for additional incentives, including an annual bonus
More information about location
3 days a week in office
Personal credit FinTech
Be an early applicant
Personal credit FinTech
501-1000 employees
Be an early applicant
$115-160k
This role is eligible for additional incentives, including an annual bonus
More information about location
3 days a week in office
501-1000 employees
Company mission
To empower every customer with innovative solutions designed to help them reach their goals.
Role
Who you are
- 3+ years of professional experience building statistical and machine learning models (GLM, GLMNET, XGBoost, Random Forest, etc.)
- Experience with building analytical models to solve complex problems. Experience with the full machine learning life cycle including predictive data analytics, including data preprocessing model building, evaluation, implementation and post implementation reviews
- Experience in shaping the vision for data science/predictive analytics applications
- Experience leading a data science function that has delivered strong value to the business
- Expert-level knowledge in one or more languages commonly used in data analytics (Python, R, Java, Scala, etc.). Python / R proficiency is strongly preferred
- Expert-level knowledge in SQL and relational databases
- Strong ability to communicate complex analyses and concepts to non-technical audiences Within and outside of the organization
- Strong analytical, problem solving, and critical thinking skills
- Bachelor's Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
- Master's Degree in Business or quantitative fields such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering is a plus
- FinTech/Consumer Lending domain knowledge in underwriting and account management preferred
- Experience with BI tools such as Tableau, Databricks, Looker and applications on Azure, AWS and their AI/ML tools preferred
What the job involves
- Avant is building a Marketing Analytics team! We are looking for a leader who is passionate about Data Science and its use across the acquisition lifecycle for lending products
- This is a key individual contributor role that will partner very closely with our product, technology and data organization to build solutions for helping find and grow Avant’s customer base
- If you are looking for an opportunity to join a great team where you can be yourself, deepen your skills and experiences, and find new areas of inspiration then consider a career at Avant!
- Collaborate with business stakeholders from Product, Data, Technology and Operations to identify, test and implement data science solutions that drive business and customer success
- Develop and own a roadmap in collaboration with the head of Acquisition and other stakeholders in order to organize and prioritize initiatives
- Own full-cycle of data science products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over machine learning products, iterating rapidly if necessary
- Lead with innovation researching new sources of data, fair lending assessments and advanced data platforms to continuously improve models that impact Avant’s business outcomes
- Perform data analysis, feature engineering, model development and apply advanced methods to prepare and develop decisions from data. Develop analytics, prepare and deliver both informational and decision-seeking presentations
- Work with Model Risk Management, Legal, Compliance and Internal Audit for model validation and examination
Our take
Many Americans with below average credit scores are caught in a bind: they're unable to improve their score, and simultaneously cannot access traditional loans. Avant's alternative is to offer credit options that are powered by machine learning and based upon a large database that helps to manage risk.
For its users, the company offers a quick credit decision and speedy access to any allotted funds. It has issued over $8 billion in loans to date, and has also expanded its business through the acquisitions of ReadyForZero in 2015 and Zero Financial in 2021.
This expansion has enabled Avant to reach towards its goal of offering a whole suite of products in a single platform, such as loans, credit cards, and deposits. Although there are many FinTechs looking at ways to remove the barriers that people with low credit scores face when trying to take out loans, this expansion to banking products should help Avant to stand out.
Steph
Company Specialist at Welcome to the Jungle
Insights
-3% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Dec 2022
$125m
GROWTH EQUITY VC
Sep 2015
$325m
SERIES E
Total funding: $779m
Company benefits
- Choice of great medical, dental, and vision insurance plan options
- 401(k) Match
- Unlimited paid time off
- Flexible work environment
- Generous paid parental leave
- Lunch allowance (Fooda) and in-office snacks
- WFH stipends for our remote employees
- Access to LinkedIn Learning for professional development
- No meeting wednesdays - (a.k.a. planned time to Get Sh!t Done)
- Summer fridays
- Fun in-office and virtual social events
- (And who doesn’t love the swag)
Company HQ
River North, Chicago, IL
Leadership
Al Goldstein
(Co-Founder & Executive Chair)They worked for a year at Deutsche Bank before founding Pangea Properties in 2008, and Avant in 2013. They have been Chair since, alongside founding Amount, Spring Labs, and StoicLane.
Paul Zhang
(Co-Founder & CIO)Having studied at the University of Illinois, they spent a year as a Software Engineer at CashNetUSA and Enova Financial. They founded Debteye in 2011, before starting Avant in 2013, serving first as CTO then Chief Architect, CTO again and finally CIO.
Matthew Bochenek
(CEO)Has been with the business since 2013, working in a range of positions including Head of US Servicing, Head of Operations and COO - before becoming CEO in 2021. Previously spend a decade at Superfund Asset Management.
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