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.
Job Summary
As a Senior Data Analyst within the Data Science and Analytics department, you’ll partner with our data scientists and analysts to lead a variety of analytic activities, including project-based data mining, operational test design, data stratification and quality control, along with dashboard and KPI development. As a talented “data wrangler”, you’ll leverage your analytic skills to discover new correlations and predictive relationships using MX’s expanding, world-class data asset. Never content, you’ll also look for ways to expand your analytic toolbox through side-by-side training and self-directed study. The ability to turn analytic results into digestible and engaging stories will be important for success, as will patience in the face of analytic uncertainty. Your strong computational training and background, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role.
Job Duties
- Work with data scientists to design or uncover new tools, methods, and approaches to strengthen MX’s data science platform, execute A/B and multivariate tests, and build predictive models focused on consumer financial behavior.
- 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).
- Create new data assets, modeling features, and dashboards in service to MX’s core data engine.
- 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 findings to colleagues and senior leaders, including data-driven narratives aimed at external constituencies (in collaboration with Marketing).
- Serve as a subject matter expert on analytical best practices and data visualization.
- Job Requirements
- Bachelor’s degree, likely including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar).
- 3-5 years of experience designing and executing business analyses (e.g., asset pricing, cash flow forecasting, customer satisfaction/engagement scoring, or capacity planning), building dashboards and KPIs, and/or providing data analytic support for advanced analytics (e.g., machine learning modeling).
- Proficiency with Python and at least one database query language (e.g., SQL); exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be beneficial.
- Prior experience converting your analytic results into stories and presenting them to peers and senior stakeholders (e.g., Tableau, Kibana).
- 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.
Work Environment
At MX, we utilize a hybrid work model, which allows us to attract top talent, provide work-life balance, and increase productivity through collaboration. Our team members enjoy a balance of remote work and monthly in-person collaboration meetings. Travel expectations are about 15%, and the company covers travel expenses for remote employees. Local employees are encouraged to utilize in-office time on a weekly basis. Both local and remote employees can take advantage of our incredible office space with onside perks like company-paid meals, onsite massage therapist, golf simulator, and meditation room to name a few.
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
$min to $mid.
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.
Work Environment
In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building.
Compensation
The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable.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 applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role, and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.
