Top Tech Jobs & Startup Jobs

The Treasury Analyst supports cash management, liquidity forecasting, payments, banking relationships, treasury systems, and financial analytics. Responsibilities include managing Kyriba data and workflows, creating dashboards and reporting, analyzing variances and scenarios, supporting bank accounts and payment solutions, assessing operational and financial risks, maintaining controls, preparing compliance documentation, and improving automation and reconciliation processes. The role also contributes to cross-functional treasury initiatives, responsible AI use, testing, implementation, and change management.

Collects and resolves delinquent consumer loans, credit cards, mortgages, overdrafts, and negative balances. Responsibilities include skip tracing, repossession recommendations, collateral liquidation, payment arrangements, loan modifications, legal and agency referrals, delinquency reporting, policy updates, and regulatory compliance with BSA and applicable consumer finance laws.

Perform life insurance valuation modeling in AXIS across statutory, tax, and GAAP frameworks. Execute cash flow testing, product implementations, assumption changes, and model updates; deliver financial results; strengthen model controls and versioning; collaborate with technology partners and auditors; and ensure regulatory and model governance compliance. The role requires actuarial expertise, AXIS experience, knowledge of life insurance products and regulations, and strong analytical and communication skills.

Build, maintain, convert, and enhance Python-based actuarial models supporting participating whole life products and dividend management. Translate business requirements into documented, sustainable solutions; collaborate with actuarial experts on validation, testing, governance, and production readiness. The role will expand into assumption development, regulatory testing, and dividend liability analysis while helping modernize the organization’s modeling platform and practices.

Lead modernization of MassMutual's Disability Income underwriting manual by developing evidence-based medical underwriting guidelines, partnering with claims, pricing, medical directors, compliance and product teams, translating clinical and actuarial insights into clear guidance, improving framework usability, supporting digital/automated underwriting implementations, and championing adoption and training to strengthen underwriting quality and profitable growth.

The Business Systems Analyst provides expertise on investment accounting systems, facilitating communication between business stakeholders and technology teams, analyzing data management, and guiding complex technical solutions.

Manage delivery of a portfolio of AI and data science projects from planning through implementation. Coordinate technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Lead Agile ceremonies, drive accountability, translate AI capabilities into actionable requirements, and proactively identify and mitigate risks across complex, concurrent initiatives.

Leads the strategic direction of Institutional Insurance Operations, Quantitative Consulting, and Business Systems Consulting. Oversees client and advisor experience, conservation and in-force strategies, business planning, performance metrics, automation, service enhancements, and cross-functional initiatives. Partners with Sales, Product, Legal, Compliance, Finance, Technology, Underwriting, and other leaders to improve scalability, retention, profitability, operational excellence, and client value across BOLI, COLI, and ICOLI businesses.

Evaluate formal and informal life insurance applications by assessing medical, occupational, and financial risks. Determine acceptance, modification, or decline decisions; deliver best-first offers; explain decisions to customers and advisors; resolve rate and risk questions; support distribution partners; improve underwriting processes; and mentor emerging talent while maintaining mortality expectations.

Manages AI and data science projects from planning through implementation, coordinating technical and non-technical teams, dependencies, requirements, budgets, timelines, and stakeholder expectations. Facilitates Agile ceremonies, drives accountability, translates AI capabilities into actionable plans, and navigates ambiguity across complex, multi-team initiatives.