Quant Analytics Lead-Vice President
TwinThread
Job Summary Join the Alternative Lending Analytics Team and play a pivotal role in shaping the future of the Connected Commerce lending business. As Quant Analytics Lead within the Alternative Analytics team, you will partner with cross‑functional teams to analyze data from large SQL and AWS databases, translating insights into actionable recommendations for stakeholders. You’ll need strong analytical rigor and a deep sense of curiosity. The position is ideal for an innovative leader who thrives in a dynamic environment and is passionate about using data to deliver measurable business outcomes. Responsibilities Establish and foster partnerships across the organization to understand business requirements. Lead the creation and execution of solutions to pull and combine data from multiple sources for lending product reporting. Develop analytics frameworks for new lending products. Collaborate with data partners to ensure data quality and integrity for new lending products. Lead report automation initiatives. Analyze customer, transaction, and product usage data to identify actionable insights. Communicate insights to senior leaders to influence strategy and business decisions. Translate complex analyses into concise executive narratives and visuals to support strategic decision‑making. Manage multiple priorities and deliver results quickly with rigor. Required Qualifications, Capabilities, and Skills BS in an applicable STEM field and 6+ years of financial industry experience in business analytics roles. 6+ years of hands‑on experience working with a broad range of analytics technologies and tools (SAS, SQL, Spark, Python, Unix, Excel Pivot, etc.) in a big‑data environment. Financial services experience, especially in credit card or mortgage analytics. Exceptional communication skills, with the ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non‑technical stakeholders. Ability to identify key drivers, prioritize tasks, be results‑oriented, and demonstrate strong attention to detail. Proficient in applying quantitative methods for business analytics. Adept critical thinker and problem solver. Preferred Qualifications, Capabilities, and Skills Master’s degree in a relevant quantitative field (Statistics, Economics, Marketing Analytics, Mathematics, Engineering, Computer Science, or related fields). Benefits We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, including comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. Equal Employment Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit the FAQs for more information about requesting an accommodation. Equal Opportunity Employer / Disability / Veterans Equal Opportunity Employer/Disability/Veterans #J-18808-Ljbffr TwinThread
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