TIAA
TIAA
TIAA ir finanšu pakalpojumu un apdrošināšanas uzņēmums, kas koncentrējas uz pensiju plānošanu, labklājības pārvaldību un ilgtermiņa finansiālo drošību. Tā piedāvājumā ietilpst mūža rentes, individuālie pensiju konti, ieguldījumu pārvaldība un personalizēti finanšu ieteikumi privātpersonām un institucionālajiem klientiem. TIAA tika dibināts 1918. gadā, apvieno pensiju jomas pieredzi ar atbildīgu ieguldīšanu un pārvalda aktīvus 1,2 triljonu ASV dolāru vērtībā, palīdzot klientiem plānot uzticamus mūža ienākumus un pārliecinošāku finansiālo nākotni.

Director of Asset Liability Management

Lead asset-liability modeling, risk management, and investment strategy at TIAA. Apply quantitative analysis and AI to guide hedging, portfolios, and financial decisions.

Apraksts

  • Apply quantitative, actuarial, financial, and AI expertise to assess asset and liability risk and return.
  • Review ALM metrics and recommend asset allocations, hedging approaches, and product designs.
  • Develop and test risk mitigation measures for stressed conditions.
  • Oversee complex quantitative models spanning multiple asset classes.
  • Create processes and tools for regular model recalibration.
  • Design, build, test, implement, refine, and maintain ALM models and analytical tools.
  • Validate models and improve them when results diverge from expectations.
  • Apply AI and programming tools such as Python, MATLAB, VBA, and R.
  • Analyze and calibrate liability crediting strategies to support their development and improvement.
  • Lead discussions with Model Risk Management, Internal Audit, regulators, and rating agencies.
  • Develop and test investment allocations and target portfolios for new initiatives and products.
  • Prepare financial analyses and recommendations for senior leaders.
  • Mentor colleagues and provide technical direction and industry expertise.

Prasības

  • At least five years of experience in asset-liability management, financial engineering, investment management, actuarial work, modeling, or another quantitative area.
  • A university degree is preferred.
  • At least seven years of relevant experience is preferred.
  • An advanced degree in a quantitative field is preferred.
  • Strong quantitative and technical capabilities.
  • Investment management and liability-driven asset allocation experience is preferred.
  • Strong technical and coding skills, including Excel, VBA, Python, PowerPoint, and artificial intelligence.
  • Strong problem-solving and analytical abilities.
  • FSA and/or CFA credentials are preferred.
  • Experience with annuity, pension, or other insurance products is preferred.
  • Experience with stress testing, economic capital, and asset strategies is preferred.
  • Experience with capital markets, varied asset classes, and economic scenario generation is preferred.
  • Reinsurance experience is preferred.
  • Experience with internal audit and other regulatory reviews is preferred.
  • Ability to interpret financial, market, and economic data and draw accurate conclusions.

Priekšrocības

  • Retirement program.
  • Health, wellness, and work-life offerings.
  • Support for financial, emotional, and physical well-being.
  • Comprehensive Total Rewards package.
  • Access to future-focused skills and AI tools.
  • Learning opportunities and development pathways.
  • Performance-linked incentive programs may be available, including annual discretionary programs and non-annual incentive plans.
  • Reasonable accommodations for the online application process.

Saistītās vakances