Lincoln Financial is looking to solve complex assignments and projects in quantitative research, investment analytics, and risk management to internal and external stakeholders.
Requirements
- 4 Year/bachelor’s degree (or equivalent) in a quantitative field (e.g. financial engineering, computer science, economics, finance, mathematics, data science/statistics, actuarial science, engineering, or related).
- 3 - 5+ years of experience in quantitative research, risk management, investments analytics and reporting, derivative pricing, and/or portfolio management directly aligned to the specific responsibilities for this role.
- Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
- Proficient programming skills in MATLAB or Python or R, VBA for Microsoft Office (Excel, PowerPoint etc.), and SQL.
- Experience in Morningstar, Bloomberg, Power BI / Tableau, or other financial software or scripting languages.
- Strong financial acumen, research & analytical skills, and understanding of capital markets and financial derivatives (futures, options).
- Certifications: CFA, FRM, CAIA or progress towards one.
Responsibilities
- Maintain knowledge on current and emerging developments/trends, assess the impact and collaborate with senior management to incorporate new trends and developments in current and future solutions.
- Develop, enhance, and implement tools, reports, and/or new solutions for analyzing portfolio positioning, investment risk, performance evaluation and attribution analysis.
- Research, develop, implement and evaluate statistical or econometric based multi-asset/equity models, risk/volatility models, and systematic investment/trading strategies as needed to manage and monitor portfolio risks, returns and volatility.
- Identify and execute process improvement and automation that significantly improve quality across the team, department and/or business unit.
- Conduct more complex analysis of the risk and return profile of all major asset classes in which Lincoln invests.
- Develop and enhance investment analytic approaches & methodology to ensure data quality and effectively capture key risk factors in investment portfolio.
- Summarize findings and utilize appropriate data visualizations to share analyses and facilitate understanding for a wide range of technical and non-technical audiences.
Other
- Ability to communicate effectively (verbal/written).
- Up to 10% travel required.
- 4 Year/bachelor’s degree (or equivalent) in a quantitative field.
- Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.
- Leadership development and virtual training opportunities available.
