MX
Life at MX
We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award‑winning company that’s helping create meaningful and lasting change in the financial industry. The MX Product team is responsible for building world‑class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Data Science & Analytics (DSA) department takes the lead on the company's most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, measurement, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Senior Product Analyst. Job Duties
Work with colleagues from the product and analytic functions to design customer and procedural metrics, complete operational and segmentation analyses, predict end‑user behavior, estimate and measure the results of product initiatives, and make data‑driven recommendations about product features. Evaluate product effectiveness (including versus industry peers), complete market analyses, refine customer value propositions, and collect customer feedback. Write scripts to support hypothesis‑based and theory‑free data mining projects (e.g., create new pattern recognition algorithms and find hidden relationships between features). Establish, follow, and hold others accountable to best practices for collecting, analyzing, and generating insights from end‑user and system activity data. Create new data assets, modeling features, and dashboards in service to MX’s product platform. Monitor data platform system performance to identify and address challenges to data quality (e.g., accuracy, completeness, and reliability) and availability. Lead data exploration work to generate insights on product effectiveness, institutional client results, and end‑user (consumer) financial health. Develop presentations and memoranda to communicate key messages and insights based on rigorous analyses. Serve as a subject‑matter expert, trainer, mentor, and reviewer of analytical and data visualization best practices. Job Requirements
Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar). Five years of progressive experience with operational, financial, or marketing analytics preferred; proficiency with product performance metrics, descriptive statistics, and/or behavioral analytics would be advantageous, as would previous consulting experience. Expertise with at least one database query language (e.g., SQL) and Python (or equivalent); exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be beneficial. Prior experience converting analytic results into stories and presenting them to peers and senior stakeholders. Critical thinking skills, talent for project planning and execution, ability to convert hypotheses into clear action items, and focus on results. Drive to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development alongside other commitments. Commitment to client needs and satisfaction, humility in the face of constructive, well‑meaning feedback, and production of high‑quality work that builds trust and confidence with stakeholders. Compensation
The expected on‑target earnings (OTE), which is comprised of a base salary and other forms of cash compensation, such as bonus or commissions, is currently to . This pay range is just one component of MX’s total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation. Please note that this position does not accept sponsorship candidates at this time. Only US‑based candidates who are authorized to work in the US without sponsorship, now or in the future, will be considered for this role. At MX, we are a high‑performance organization that thrives on trust and results. This role is based in Lehi, Utah, with flexibility for both in‑office and remote work. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company‑paid meals, massage therapists, a sports simulator, gym, mother’s lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross‑functionally, fostering connection and innovation. MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.
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We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award‑winning company that’s helping create meaningful and lasting change in the financial industry. The MX Product team is responsible for building world‑class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Data Science & Analytics (DSA) department takes the lead on the company's most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, measurement, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Senior Product Analyst. Job Duties
Work with colleagues from the product and analytic functions to design customer and procedural metrics, complete operational and segmentation analyses, predict end‑user behavior, estimate and measure the results of product initiatives, and make data‑driven recommendations about product features. Evaluate product effectiveness (including versus industry peers), complete market analyses, refine customer value propositions, and collect customer feedback. Write scripts to support hypothesis‑based and theory‑free data mining projects (e.g., create new pattern recognition algorithms and find hidden relationships between features). Establish, follow, and hold others accountable to best practices for collecting, analyzing, and generating insights from end‑user and system activity data. Create new data assets, modeling features, and dashboards in service to MX’s product platform. Monitor data platform system performance to identify and address challenges to data quality (e.g., accuracy, completeness, and reliability) and availability. Lead data exploration work to generate insights on product effectiveness, institutional client results, and end‑user (consumer) financial health. Develop presentations and memoranda to communicate key messages and insights based on rigorous analyses. Serve as a subject‑matter expert, trainer, mentor, and reviewer of analytical and data visualization best practices. Job Requirements
Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar). Five years of progressive experience with operational, financial, or marketing analytics preferred; proficiency with product performance metrics, descriptive statistics, and/or behavioral analytics would be advantageous, as would previous consulting experience. Expertise with at least one database query language (e.g., SQL) and Python (or equivalent); exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be beneficial. Prior experience converting analytic results into stories and presenting them to peers and senior stakeholders. Critical thinking skills, talent for project planning and execution, ability to convert hypotheses into clear action items, and focus on results. Drive to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development alongside other commitments. Commitment to client needs and satisfaction, humility in the face of constructive, well‑meaning feedback, and production of high‑quality work that builds trust and confidence with stakeholders. Compensation
The expected on‑target earnings (OTE), which is comprised of a base salary and other forms of cash compensation, such as bonus or commissions, is currently to . This pay range is just one component of MX’s total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation. Please note that this position does not accept sponsorship candidates at this time. Only US‑based candidates who are authorized to work in the US without sponsorship, now or in the future, will be considered for this role. At MX, we are a high‑performance organization that thrives on trust and results. This role is based in Lehi, Utah, with flexibility for both in‑office and remote work. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company‑paid meals, massage therapists, a sports simulator, gym, mother’s lounge, and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate, kick off key projects, or strategize cross‑functionally, fostering connection and innovation. MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to hr@mx.com.
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