FlexShopper, LLC, a subsidiary of FlexShopper, Inc. (Nasdaq: FPAY), is a leading financial and technology company specializing in lease-to-own (LTO) durable goods. Their innovative platform enables consumers to access brand name products through ecommerce marketplaces, even if they lack immediate cash or credit. Based in Boca Raton, FL, FlexShopper prides itself on a diverse, inclusive team, fostering a collaborative and fast-paced environment. The company offers competitive benefits, including health insurance, 401k matching, paid time off, and more.
As a Senior Software Engineer at FlexShopper, you will design and develop high-quality RESTful microservice APIs. You will collaborate with team members to apply engineering best practices, ensuring scalable and secure product solutions. With requirements including proficiency in JavaScript, MEAN/MERN stacks, and microservices, this role is ideal for experienced developers looking to make a significant impact in a dynamic FinTech setting.
The first step is to submit a compelling application that reflects your technical skills and interest in joining FlexShopper as a Software Engineer. Whether you were contacted by a FlexShopper recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.
Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.
If your CV happens to be among the shortlisted few, a recruiter from the FlexShopper Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.
In some cases, the FlexShopper software engineer hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.
The whole recruiter call should take about 30 minutes.
Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the FlexShopper software engineer role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around FlexShopper’s software systems, RESTful microservice APIs, and JavaScript frameworks.
In the case of software engineering roles, take-home assignments regarding API design, system architecture, and code optimization are incorporated. Apart from these, your proficiency in using the MERN/MEAN stack, understanding of event-driven programming, and software development best practices may also be assessed during the round.
Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.
Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the FlexShopper office in Boca Raton, FL. Your technical prowess, including programming and system design capabilities, will be evaluated against the finalized candidates throughout these interviews.
If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Software Engineer role at FlexShopper.
Quick Tips For FlexShopper Software Engineer Interviews
Typically, interviews at Flexshopper vary by role and team, but commonly Software Engineer interviews follow a fairly standardized process across these question topics.
What are the Z and t-tests, and when should you use each? Explain the purpose and differences between Z and t-tests. Describe scenarios where one test is preferred over the other.
What are the drawbacks of the given student test score data layouts, and how would you reformat them? Analyze the provided student test score datasets for potential issues. Suggest formatting changes to make the data more useful for analysis. Discuss common problems in "messy" datasets.
What metrics would you use to determine the value of each marketing channel? Given data on marketing channels and their costs, identify key metrics to evaluate the value of each channel.
How would you determine the next partner card for a company using customer spending data? Using customer spending data, outline a method to identify the best potential partner for a new credit card offering.
How would you investigate if the redesigned email campaign led to an increase in conversion rates? Given a scenario where conversion rates increased after a new email campaign, describe how you would determine if the increase was due to the campaign or other factors.
Write a function search_list
to check if a target value is in a linked list.
Write a function, search_list
, that returns a boolean indicating if the target
value is in the linked_list
or not. You receive the head of the linked list, which is a dictionary with value
and next
keys. If the linked list is empty, you'll receive None
.
Write a query to find users who placed less than 3 orders or ordered less than $500 worth of product.
Write a query to identify the names of users who placed less than 3 orders or ordered less than $500 worth of product. Use the transactions
, users
, and products
tables.
Create a function digit_accumulator
to sum every digit in a string representing a floating-point number.
You are given a string
that represents some floating-point number. Write a function, digit_accumulator
, that returns the sum of every digit in the string
.
Develop a function to parse the most frequent words used in poems.
You're hired by a literary newspaper to parse the most frequent words used in poems. Poems are given as a list of strings called sentences
. Return a dictionary of the frequency that words are used in the poem, processed as lowercase.
Write a function rectangle_overlap
to determine if two rectangles overlap.
You are given two rectangles a
and b
each defined by four ordered pairs denoting their corners on the x
, y
plane. Write a function rectangle_overlap
to determine whether or not they overlap. Return True
if so, and False
otherwise.
How would you design a function to detect anomalies in univariate and bivariate datasets? If given a univariate dataset, how would you design a function to detect anomalies? What if the data is bivariate?
What are the drawbacks of the given student test score datasets, and how would you reformat them? Assume you have data on student test scores in two layouts. What are the drawbacks of these layouts? What formatting changes would you make for better analysis? Describe common problems in "messy" datasets.
What is the expected churn rate in March for customers who bought subscriptions since January 1st? You noticed that 10% of customers who bought subscriptions in January 2020 canceled before February 1st. Assuming uniform new customer acquisition and a 20% month-over-month decrease in churn, what is the expected churn rate in March for all customers since January 1st?
How would you explain a p-value to a non-technical person? Explain what a p-value is in simple terms to someone who is not technical.
What are Z and t-tests, and when should you use each? Describe what Z and t-tests are, their uses, differences, and when to use one over the other.
How does random forest generate the forest and why use it over logistic regression? Explain how random forest creates multiple decision trees and aggregates their results. Discuss the advantages of using random forest over logistic regression, such as handling non-linear data and reducing overfitting.
When would you use a bagging algorithm versus a boosting algorithm? Compare the use cases for bagging and boosting algorithms. Provide examples of tradeoffs, such as bagging reducing variance and boosting reducing bias but being more prone to overfitting.
How would you evaluate and compare two credit risk models for personal loans?
List metrics to track the success of the new model, such as accuracy, precision, recall, and AUC-ROC.
What’s the difference between Lasso and Ridge Regression? Explain the differences between Lasso and Ridge Regression, focusing on their regularization techniques and how they handle feature selection and multicollinearity.
What are the key differences between classification models and regression models? Outline the main differences between classification and regression models, including their objectives, output types, and common use cases.
FlexShopper believes in treating consumers fairly and with respect. Our diverse, inclusive team enjoys a balanced work-life experience, collaborating in a fun, fast-paced onsite environment in sunny Boca Raton, Florida.
The Senior Software Engineer will build high-quality RESTful microservice APIs, work on complex technical problems, collaborate on design and deployment, and maintain software quality through best practices.
We seek candidates with 7+ years of modern JavaScript, 4+ years of MERN/MEAN Stack, 5+ years of enterprise RESTful service APIs, and proficiency with various frameworks and tools. A Bachelor's Degree in computer science and experience in eCommerce or FinTech are preferred.
FlexShopper offers competitive compensation, health insurance, 401k with employer match, paid time off, disability/life insurance, commuter passes, a casual dress code, free snacks, and gym memberships, among other perks.
Prepare by reviewing common interview questions, brushing up on your technical skills, and familiarizing yourself with FlexShopper’s products and services. Practice with Interview Query can also help you ace your interview.
If you're intrigued by the opportunity to join a dynamic and diverse team in a fast-paced, innovative FinTech environment, FlexShopper could be the perfect fit for you. To streamline your preparation and boost your chances for success, visit our comprehensive FlexShopper Interview Guide on Interview Query. It’s packed with insights and practice questions tailored to help you navigate the interview process confidently. In addition to our extensive company guides, we offer specialized resources for various roles, ensuring you're well-prepared for any challenge. Empower yourself with Interview Query and elevate your interview game. For any further questions, don’t hesitate to reach out. Good luck with your interview!