Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As a Software Engineering Intern, you will be integrated into our core agile teams and work alongside Enova's engineers. Over a period of 10 weeks, you will partake in the full software development lifecycle and work on business initiatives that bring value to our consumers. Enova believes in education through total immersion. As one of our interns, you’ll begin your time with us learning the ropes in our intensive boot camp program. While working on high visibility projects, we will also provide you in depth training surrounding Ruby, Rails, GoLang, and other technologies and skills needed to become a successful full stack engineer. As a member of the Enova internship program, you will have the benefit of networking with other interns across the company through in-person or virtual team outings, lunches, and events. This internship will begin June 15 - August 19, 2027. This role is hybrid and eligible candidates must be able to work in the Chicago office 3 days per week. Requirements: Acceptable Graduation Dates: December 2027 - June 2028 Local to the Chicagoland area or willing to relocate We're excited about you if you have: Been working toward an undergraduate or master’s degree in Computer Science, Engineering or related field. A passion for crafting exceptional code, using open source technologies, and continuous learning. Experience with object oriented programming languages. We welcome engineers from various technical backgrounds! The ability to collaborate with non-technical team members about progress, challenges, or new ideas. About Software Engineering: Our Software Engineering team is one of the largest in Chicago. We put the “Tech” in FinTech and are accountable for developing top notch products for our customers. We are structured into full-stack Agile teams, each aligned to core business lines and services, but no team is a silo. Our collaborative environment promotes continuous learning and innovation across all groups. We primarily code in Ruby and Go. Not Familiar? No problem! We want engineers from diverse backgrounds and have created a self-paced training program to get you up to speed during your first few weeks with us. Beyond this, our teams organize hackathons and tech talks for additional learning, monthly town halls to keep everyone ‘in the know,' affinity and advocacy groups, and more! Compensation This is a paid internship. The budgeted hourly rate for this position is $35.00 per hour for students pursuing a Bachelors degree and $38.00 per hour for students pursuing a Masters degree. Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. Responsibilities : As a Senior Software Engineer on our Product Consumer team, you’ll be designing and implementing technical solutions to business problems. You’ll collaborate with other engineers to build the best systems for the problem at hand, learning from Lead Engineers and Architects, while mentoring junior developers. Most problems have multiple solutions and we need your expertise to figure out which one is best and drive to completion. In addition, you will work with Product Management, Analytics, and Operations to deliver business value. Our most successful Senior Engineers are able to tackle a variety of tasks from designing microservices, operational issues, production debugging, risk mitigation and management, and the ability to pair with others outside of your immediate team in order to accomplish any task. Requirements: 4+ years of experience with any programming language we welcome engineers from various technical backgrounds. Ideally we prefer 2+ years of Rails experience. Comfortable with AI agent harnesses and writing skills. Proficiency in one or more object-oriented programming languages. Experience developing and maintaining asynchronous jobs and task queues (Sidekiq or similar frameworks) The ability to solve problems in more than one language, and know exactly why one of them is better Expertise with building software features, enterprise architecture, and API integration to facilitate first in class software. Project management skills, specifically the ability to oversee projects end-to-end, estimate work, and break up problems into deliverable parts Deployed multiple web applications from a full-stack perspective. Experience collaborating with product managers to plan and scope products iteratively. A Bachelor’s degree in Computer Science, Engineering, or equivalent experience Nice to have: Deployed software using Ruby, Rails, Go, or PostgreSQL Experience in the Finance domain is a nice-to-have Aspiration to grow into a people leadership role through mentoring teammates, driving team initiatives, and shaping priorities. Compensation: This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. Budgeted annual salary ranges: Senior Software Engineer I: $98,000-$130,000 Senior Software Engineer II: $108,000 to $140,000 Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We are looking for a Senior Data Scientist to own value-based bidding (VBB) across our digital marketing channels. This is a rare role that sits at the intersection of machine learning and paid media, where your models will be directly making the decisions that drive the digital marketing spend day-to-day. Here's the problem you'll own: platforms like Google Ads and Meta will optimize toward whatever signal we give them. Optimize toward clicks or raw conversions, and we acquire the wrong customers efficiently. The alternative is to predict what each prospective customer is actually worth to us over their full lifetime, and feed that value signal back to the platforms so their bidding algorithms spend every dollar optimizing on long-term profitability. Building those value models, and the automated systems that deliver their predictions to our ad platform partners, is the core of this job. You'll sit within our Marketing team at the center of our digital acquisition strategy, while working as part of Enova's broader data science community. You will collaborate especially closely with our Pricing & Profitability team, whose lifetime value and profitability models form the analytical foundation your bidding models will build on. Beyond VBB, you'll be the analytical partner to Marketing across all digital channels, helping the team understand what's working, design experiments that prove it, and allocate budget where it earns the best return. You don't need a marketing background to succeed here. If you're a strong data scientist who wants to see your models directly move spend, volume, and profitability every day, we can teach you the domain. Key responsibilities: Build, validate, and maintain machine learning models that estimate customer lifetime value at early funnel stages (click, lead, application) where value signals are needed for real-time bidding Design and implement the automated systems that pass value estimates to ad platforms — offline conversion uploads, conversion APIs, and server-side integrations with partners like Google Ads and Meta — and own their reliability, latency, and data quality Partner with the Pricing & Profitability team to ensure your value estimates stay consistent with Enova's core lifetime value and return-on-equity models as they evolve Design and analyze experiments (holdouts, geo tests, incrementality studies) that measure whether value-based bidding actually improves acquisition efficiency and portfolio quality Act as a data science partner to the broader Marketing team on channel optimization: budget allocation, audience and segmentation strategy, campaign measurement, and funnel analytics across paid search, paid social, and other digital channels Communicate insights and recommendations to Marketing and Data Science leadership, providing a data-driven perspective on where and how we grow Requirements: Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field 4+ years of experience in Data Science, Analytics, or a related field Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis Experience working with relational databases, such as SQL Excellent knowledge of applied statistical methods and machine learning models Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment Preferred (but not required — we'll teach you): Exposure to digital marketing or martech/adtech: paid search or paid social platforms, conversion tracking, attribution, or marketing measurement Experience in finance or lending, lifetime value estimation, or unit economics modeling Experience deploying models into production systems or building automated data pipelines Compensation: The budgeted annual salary range for this position is $96,000 to $125,000 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: Staying a step ahead of fraudsters takes an inquisitive mind, an appetite to dig deeper, and the imagination to shed new light on how we fight fraud — and here, it all starts with data. As a Lead Data Scientist on Enova's Fraud Analytics team, you'll be the quantitative engine of our fraud prevention effort. You'll develop, enhance, and test the models and pattern-recognition pipelines that surface emerging fraud trends across our lending products — then work hand-in-hand with our Fraud Operations team, who investigate the individual applications your models flag. Their findings (the false positives and false negatives) come back to you to sharpen the identifying characteristics and pivot the approach. It's a fast, iterative loop, and you sit at the center of it. The broader Enova Analytics department consists of 100 quantitative professionals dedicated to using the latest cutting-edge techniques to drive business value: providing customers with access to fast, trustworthy credit while managing risk. Our company-wide, data-driven culture means you spend less time presenting and more time on the fun part: crunching data. Key responsibilities: Develop, deploy, and monitor models and pattern-recognition algorithms to detect emerging and shifting fraud trends across one or more lending products Write customized programs in Python for meaningful data analysis and predictive modeling, and query large, complex datasets in SQL Partner closely with Fraud Operations through the full detection loop — pulling data together, surfacing suspicious patterns, and incorporating their investigation results to refine features and reduce false positives/negatives Conduct ad hoc analysis on large, complex datasets to scope new or changing fraud trends and recommend risk, verification, and operational strategies Communicate findings clearly to cross-functional partners, provide requirements, and support implementation Help improve underwriting and verification processes from a fraud-risk perspective Apply AI in production applications to streamline fraud prevention processes Manage team members, and help coordinate their work with business priorities. Requirements: 5+ years of experience in analytics, applied machine learning, or quantitative modeling Hands-on fraud experience required — fraud analytics, fraud strategy, or risk modeling, ideally in fintech or lending Advanced Python and SQL; experience owning models end-to-end — design through deployment and monitoring — on large-scale transactional data Track record of translating analysis into business strategy and communicating with senior stakeholders Previous leadership experience mentoring teammates, driving team initiatives, and shaping priorities. Compensation: The budgeted annual salary range for this position is $106,000 to $140,000 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more. You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle – from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact. Responsibilities : Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support Build, optimize, and support data marts and data warehouse solutions using Snowflake Develop and maintain dashboards and reports in Strategy(MSTR) and/or comparable BI tools Proactively identify and implement AI use cases across various business units, leveraging Enova’s AI tech stack(Claude, AWS Bedrock, Gemini, and more) to drive adoption Advise on best practices, innovative designs, and emerging BI technologies Requirements: Expert-level SQL and database skills - writing high-quality, performant queries is a core part of this role Strong experience with relational databases and cloud data warehouses (Snowflake, Databricks, BigQuery, or AWS Redshift) Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.) 4+ years designing and implementing ETL/ELT pipelines; hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools 4+ years working with enterprise BI and visualization tools – MicroStrategy, Tableau, Looker, PowerBI, or equivalent Experience leveraging AI tools in day-to-day work - coding assistants, agents, and identifying new use cases (e.g., Claude, Gemini, AWS Bedrock) - with a curiosity to push adoption further Strong business acumen – ability to understand domain context and translate business needs into technical data solutions Proven experience working directly with senior management and cross-functional stakeholders to gather requirements and define success Nice to have: Proficiency in Python for data transformation, pipeline automation, and analytics Compensation: This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. Budgeted annual salary ranges: Senior BI Engineer I: $72,000-105,000 Senior BI Engineer II: $80,000-115,000 Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: As a Lead Data Scientist, you will be one of Enova’s most valuable team members. You will develop, enhance and test the company’s models for use in determining the appropriate lending criteria and verification procedures. You will lead and perform independent model validations to evaluate model fit for purpose, conceptual soundness, mathematical theory and assumptions, data/assumptions, and output reasonableness. At times, you may be asked to conduct ad hoc analysis using statistical and financial tools to recommend for risk management, marketing and operational strategies. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams, and provide technical guidance and mentorship to other team members to solve business problems, define requirements and support implementation. Responsibilities: Lead and perform model validation of credit risk models Prepare model validation reports and write technical documentation Provide technical guidance and mentorship to team members in validating and preparing models for production Interact with model stakeholders and business partners to gather information about credit models and risk acceptances and provide effective challenge when appropriate Support model releases to ensure they are quickly and accurately put into production Monitor model performance dashboards, build alerts, and escalate concerns as appropriate Drive improvements to model validation methodologies, processes, and governance practices by leveraging data manipulation, machine learning, and programming skills to enhance automation and develop custom tools Requirements: Experience in developing and/or independently validating advanced credit risk models 5+ years of experience in quantitative analysis in the financial services industry and experience leading complex analytical or model validation projects is preferred Strong knowledge of statistical models and methodologies used in risk management Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis Experience working with relational databases, such as SQL Demonstrated ability to provide technical guidance and communicate complex quantitative concepts to technical and non-technical stakeholders Compensation: The budgeted annual salary range for this position is $106,000 to $140,000 . Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here . Benefits & Perks: Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. Health, dental, and vision insurance including mental health benefits 401(k) matching plus a roth option (U.S. Based employees only) PTO & paid holidays off Sabbatical program (for eligible roles) Summer hours (for eligible roles) Paid parental leave DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) Employee recognition and rewards program Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here . It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.