• Anywhere

First Help Financial is one of the fastest growing and most diverse companies in the U.S. We provide auto loans to the underserved and care for our customers and partners with exceptional service. Through flexible financing options and tri-lingual support, we offer consumers an easier way to finance their first car. We lend to and support our portfolio which has consistently grown 40% each year over the last five years.

Are you a data science professional that enjoys statistical modeling?

Here you will find hard-working colleagues that come from over 20 countries. We hold ourselves to the highest standards of professionalism but also enjoy our work. Our culture and benefits are geared towards making you successful in life and comfortable at work.

Your Title: Data Analytics Associate

Your Location: Remote/ Anywhere in the US

You Report To: Associate Director, Analytics

Your Hours: Monday – Friday 9am – 5:30pm EST

Compensation: Starting at $65,000+ plus bonus!

Learn more about our awesome Analytics Team

About the Opportunity:

First Help Financial, voted and certified as a “Great Place to Work” by our workforce for three years in a row, is adding a new partner to our Data Analytics and Strategy department to accommodate our remarkable growth! The Data Analytics role will work closely with the CEO and other C-level execs to play a pivotal role in growing the company. You will see the challenges and opportunities of building a company through technology and data and use internal and external data to influence decision making. As part of a very small team focused exclusively on Strategy & Analytics, you will see everything that it takes to grow a business.

Portfolio Analytics

Design and develop analytical infrastructure to monitor portfolio performance including KPI dashboards, reports and other tools.
Derive analytical insights from portfolio data and evaluate risk profile trends.
Develop pricing models to evaluate and price bulk portfolios for purchase
Conduct analysis on impact on portfolio due to changes in the macroeconomic factors and make business recommendations

Operations Analytics

Develop metrics to monitor and improve collector effectiveness along several key Servicing dimensions
Formulate actionable tasks to lower delinquency rates, losses and roll-rates
Ideate and innovate superior collection strategies to increase the effectiveness and efficiency of collector activities
Champion operational process improvements to leverage technology & analytical tools as appropriate. Standardize & automate reports generation.

Cross-functional

Partner with Servicing Operations team to leverage analytics to develop superior operational processes
Partner with Technology team for evaluation and roll out of cutting-edge innovation in financial technology.
Coordinate with Risk team to refine existing underwriting models and build newer risk models
Support C-level executives with ad hoc analyses to address specific business problems. Provide operational support to Servicing team as required

What you bring:

Bachelor’s degree in Finance, Statistics, Mathematics, Engineering or similar is required
2+ years experience as a Data Scientist/Statistical Modeling
Advanced expertise in Microsoft Excel and Microsoft PowerPoint
Strong written communication skills, with an ability to create clear and concise communication
Strong oral communication skills, with experience in presenting to mid-senior management
Basic exposure to translating a business problem into a structured analysis. Experience in analyzing large and complex data sets
Experience in business analytics and data-based decision making
Experience with a data scripting language (Python, SAS, R)
Experience with SQL or relational databases (Candidate will be trained on harnessing big data using SQL queries for analytics)

Differentiating Factors:

Masters in a highly quantitative discipline such as Statistics is preferred
2+ years experience in a consulting capacity
Experience with VBA for Excel
Experience with machine learning principals such as AB testing, association analysis, clustering, decision trees, neural networks, principal component analysis, regression, etc.

FHF Benefits:

Great Perks – We offer generous salaries, competitive health and welfare benefits, paid vacation, 401(k) match, tuition reimbursement, quarterly social outings, monthly lunches, a robust employee recognition, and training development program to enhance your career with us.

Culture – We are believers in maintaining a healthy work-life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself.

Growth – Company growth provides unprecedented career growth. FHF’s extraordinary year over year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.

Diversity and Inclusion:

FHF is committed to building a culture that respects and embraces all walks of life, inclusive of all genders, race, culture, age, sexual orientation, and other identities. We will make accommodations when interviewing anyone with special needs.

Keywords: Data Science, Data Scientist, Statistical Modeling

Originally posted on Himalayas

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