AVP, Quantitative Investment Analysis Mgt P

What you'll be doing

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 and Bermuda entities.

Portfolio construction & optimization enablement

• Implement and scale optimization, scenario analysis, and stress testing tools used to construct SAA under capital, rating, liquidity, and ALM constraints; parameterize for both RBC and Bermuda BSCR frameworks.
• Integrate cash‑flow projections (, BondEdge outputs) and reconcile them to portfolio views with auditable data controls.

Regulatory‑aware data modeling

• 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.

Partner across the enterprise

• Work across the Investments team to partner with insurance business units, ALM, Actuarial, Enterprise Risk Management, and Finance.

What we’re looking for

Core technical skills

• 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 (, pandas, NumPy, SciPy, Pyomo/OR‑Tools) and time‑series/scenario modeling.
• Fluent in multiple languages with depth in Python and SQL (required). You also bring working proficiency in other languages for legacy model integration.
• Exposure to ALM and insurance balance‑sheet dynamics (duration/convexity, liquidity ladders, reinvestment, asset rating migration).
• Comfort integrating third‑party and internal data sources (, pricing/spread inputs, cash‑flow engines) into reproducible SAA processes.

Insurance investing & regulatory literacy

• Required: Practical familiarity with NAIC investment regulations, statutory accounting and reporting (including RBC capital concepts and statutory investment schedules)

Minimum Qualifications

• 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.
• Travel Amount: up to 25%

Application Deadline

What’s it like to work here? At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future. What’s in it for you:

• 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

• Free financial counseling, health coaching and employee assistance program

• Tuition assistance program

• Work arrangements that work for you

• Effective productivity/technology tools and training

The pay range for this position is $135,000 - $225,000 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln’s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln’s standard benefits package.