About epiFi Who we are : Simply put, a neo-bank startup for digital natives. Our mission is to help our users demystify their finances, maximize their savings and spend intelligently.
We are building a highly secure hub’ - a savings account that offers debit cards and allows you to consolidate your finances in a single intuitive view.
Who we’re looking for : Exceptional, innovative people! Passionate about delightful user experiences, clear about doing the right thing and hungry to impact millions of lives.
Why you should work with us : We are about doing the right thing always, both for our team and users. We are a positive, transparent and inclusive community celebrating success together, encouraging bias for action and individual brilliance.
We are ambitious and want everyone thinking impact and growth’. Our office is not just fun, it is human, nimble and business-like.
With rich experience in the world’s leading tech companies and banks, we deeply and equally understand both the fin’ and tech’ in fintech.
Funded by leading global VCs, we’re in pursuit of a fantastic experience for both our consumers and colleagues. What this role is about : Our Data Scientists are passionate about powering experiences users will love.
Join our team of talented technologists and product managers to build the next generation of financial services. At epiFi, you will : - Research and build predictive models to help users make the best financial decisions- Influence data-driven decisions through end-to-end ownership of experiments : from collecting and buildinghypothesesto establishing statistical significance on results- Collaborate closely with other functions on modeling ideas and building analytics
You should apply if :
You have at least 5+ years of industry experience in data mining, machine learning, statistical analysis, and modeling
You have a MS or PhD in Computer Science, Physics, Statistics, Applied Mathematics, or any quantitative disciplines
You have have a keen interest in financial services and a passion for shipping high-quality consumer-facing products
You are able to self-manage your priorities and deliverables while working in a fast-paced, startup environment
You have a solid foundation in computer science and strong competencies in data structures, algorithms, and software design, expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
You are experienced in one or more of the following areas : Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning
You are proficient in one or more data-oriented programming languages / tools (e.g. Python, R, Pandas, Scikit-learn, Jupyter) and database languages (e.g. SQL)
You have built and prototyped analysis pipelines iteratively to provide insights at scale, on tools such as Hive, Spark, AWS Redshift
You have a spark that separates you from the crowd and ability to think out of the box and on your feet
You possess multi-dimensional skills that make you a valuable co-worker in a fast, changing and ambiguous environment
You have the ability to learn other coding languages as needed real quick
You are comfortable in working with a team that deals with ambiguity every day
You can articulate complicated technical concepts clearly
We'd also love to see :
Interesting hobby projects, open-source contributions, etc
Sharing of knowledge - via either formal mentoring, reviewing code, reviewing design documents, providing technical talks, teaching classes, or as a consultant on projects