IT Lead focused on lifecycle management and technological modernization in financial services. Act as a bridge between business areas and technical teams for critical applications.
About the role
- SAA Developer for Lincoln’s Investment Strategy & Portfolio Management team. Building and maintaining analytics platforms to support enterprise wide asset allocation and risk management.
Responsibilities
- Build the SAA & ALM analytics platform
- Familiarity and experience managing code using GitLab and deploying python code on AWS
- Engineer reliable Python services and SQL‑backed data pipelines that ingest asset, liability, and market data; orchestrate runs; and expose results to strategy and risk partners (APIs, notebooks, dashboards)
- Productionize research prototypes into hardened components (configuration management, unit/integration tests, logging, lineage, and automated documentation) supporting enterprise‑wide SAA across U.S. and Bermuda entities
- Implement and scale optimization, scenario analysis, and stress testing tools used to construct SAA under capital, rating, liquidity, and ALM constraints; parameterize for both U.S. RBC and Bermuda BSCR frameworks
- Integrate cash‑flow projections (e.g., BondEdge outputs) and reconcile them to portfolio views with auditable data controls
- Model and map security master and position data to NAIC designations and statutory schedules and to BMA BSCR asset categories and SBA portfolios; embed validation checks aligned to reporting rules
- Work across the Investments team to partner with insurance business units, ALM, Actuarial, Enterprise Risk Management, and Finance
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related discipline (Master’s degree preferred)
- 5+ years of professional software engineering or data engineering experience in investment/insurance or adjacent risk/quant domains
- Demonstrated track record building production data/analytics platforms supporting portfolio construction or risk/ALM
- Hands‑on data engineering: relational modeling, performance tuning, data integration (with tools like Bloomberg & Intex), orchestration, version control, testing frameworks, and observability
- Quant/optimization toolkit experience (e.g., pandas, NumPy, SciPy, Pyomo/OR‑Tools)
- Fluent in multiple languages with depth in Python and SQL (required)
- Exposure to ALM and insurance balance‑sheet dynamics (duration/convexity, liquidity ladders, reinvestment, asset rating migration)
- Comfort integrating third‑party and internal data sources (e.g., pricing/spread inputs, cash‑flow engines) into reproducible SAA processes
- Practical familiarity with NAIC investment regulations, statutory accounting and reporting (including RBC capital concepts and statutory investment schedules)
Benefits
- Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes
- Leadership development and virtual training opportunities
- PTO/parental leave
- Competitive 401K and employee benefits
- Free financial counseling, health coaching and employee assistance program
- Tuition assistance program
- Work arrangements that work for you
- Effective productivity/technology tools and training
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