Lead the development, enhancement, and ongoing maintenance of counterparty credit risk models across multiple asset classes.
Compensation
The anticipated salary range for this role is between $189,000.00 and $195,400.00. The role may also be eligible for an annual discretionary incentive award.
Responsibilities
Lead development and maintenance of CCR models
Enhance PFE modeling frameworks
Drive analysis of new derivative products
Collaborate with Risk IT and quantitative infrastructure teams
Design and maintain stress testing scenarios
Requirements
Master’s degree in mathematics, statistics, or a related field
Lead the development, integration, and flight validation of navigation systems for autonomous aircraft and related defense platforms.
Compensation
$250,000—$280,000 USD
Responsibilities
Own the technical architecture, roadmap, execution, and delivery of navigation capabilities across requirements, design, implementation, verification, integration, and flight test.
Translate mission objectives and vehicle concepts into navigation requirements, sensor specifications, interface definitions, performance budgets, verification criteria, engineering plans, and team deliverables.
Design, analyze, and mature navigation algorithms, including inertial navigation, state estimation, sensor fusion, sensor calibration, alignment, integrity monitoring, and fault detection and isolation.
Develop robust estimation solutions that account for sensor noise, bias, drift, timing errors, misalignment, environmental disturbances, vehicle dynamics, computational constraints, and modeling uncertainty.
Establish rigorous methods for evaluating estimator observability, convergence, consistency, robustness, integrity, and degraded-mode behavior.
Requirements
Bachelor's degree in aerospace engineering, mechanical engineering, electrical engineering, robotics, mathematics, physics, or a related technical field.
Nice to have: Master's degree or Ph.D. in aerospace engineering, electrical engineering, controls, robotics, or a related field.
Focused on advanced analysis, modeling, and simulation of wireless systems operating in complex electromagnetic environments, evaluating spectrum coexistence, compatibility, interference risk, and operational performance across diverse RF systems, platforms, and networks.
Compensation
Salary compensation range and midpoint: $126,800 - $158,500 - $190,200 Annual
Responsibilities
Perform technical analysis of spectrum-dependent systems to determine compatibility and/or impacts across commercial and government use cases
Define appropriate evaluation methodologies to evaluate the compatibility of communication, radar, and navigation systems operating in shared or adjacent frequency bands
Conduct propagation modeling, link analysis, frequency planning, and interference assessments across varied operational environments
Assess the operational impacts of interference on system performance across current and emerging technologies E.g., commercial xG on government systems
Prepare technical reports, trade studies, engineering recommendations, and sponsor briefings based on analytical findings
Lead RF Spectrum Engineer responsible for spectrum sharing, testing, and evaluation across government and commercial systems.
Compensation
Salary compensation range and midpoint:
$156,400 - $195,500 - $234,600 Annual
Responsibilities
Coordinate and lead spectrum sharing test, design, and deployment activities of technical teams from federal agencies, commercial industry, and academia.
Define and execute technical analysis methodologies to determine compatibility of spectrum-dependent systems across commercial and government use cases.
Prepare high quality technical reports, trade studies, engineering recommendations, and sponsor briefings based on analytical findings.
Identify and evaluate emerging technologies that could be utilized to address spectrum coexistence problems.
Provide strategic oversight and manage concurrent components of a broader spectrum-based work program, synchronizing work products across different tasks and organizations.
Requirements
Bachelor’s degree in Electrical Engineering or related field
Master’s degree in Electrical Engineering or related field
PhD in Electrical Engineering or related field
Nice to have: Master’s or PhD in electrical engineering, applied mathematics, physics, systems engineering, or related discipline
Nice to have: 8+ years of professional experience in RF engineering, spectrum engineering, electromagnetic compatibility, or related analytical engineering work
This is a talent pool for various full-time positions in communications and signal processing opportunities. The role involves developing, evaluating, and prototyping innovative solutions for resilient wireless communications for U.S. Government sponsors.
Compensation
Salary compensation range and midpoint: $126,800 - $158,500 - $190,200 Annual
Responsibilities
Develop novel DSP and signal processing algorithms to improve signal detection and classification in congested, contested, and denied environments
Design and implement PHY/baseband algorithms (e.g., OFDM, MIMO, beamforming, advanced channel coding) for modern wireless systems
Evaluate different MIMO transmission schemes and beamforming approaches for throughput, interference management, and robustness
Conduct theoretical analysis to assess the performance of novel geolocation and direction-finding techniques
Design and prototype waveforms for challenging channels (e.g., long-haul, beyond-line-of-sight, high-dynamics, and fading environments)
Requirements
Bachelor’s degree
Master’s degree
PhD
Nice to have: MS or PhD in an engineering discipline
A pivotal role in safeguarding the financial stability of the organisation through rigorous model validation and robust governance practices, focusing on derivatives pricing models and market risk across Asia.
Responsibilities
Perform independent validation of derivatives pricing models across interest rates, foreign exchange, and risk-related models such as market risk and IRRBB
Implement model governance practices throughout Asia by managing model inventory, application processes, risk appetite metrics, tiering management, model performance monitoring, reporting, and committee meeting preparation
Collaborate closely with Head Office teams on model risk matters while liaising with front office model developers to ensure thorough documentation of model development processes
Coordinate with outsourced model validation teams to review their validation work
Review new model applications and provide comprehensive assessments for new products across Singapore and regional branches
Nice to have: Experience fielding navigation systems for autonomous fixed-wing aircraft, missiles, or high-performance unmanned systems.
Nice to have: Experience formally leading a small engineering team, managing direct reports, or owning multidisciplinary technical execution.
Nice to have: Expertise in advanced estimation techniques, including extended and unscented Kalman filtering, nonlinear filtering, smoothing, factor graphs, or optimization-based estimation.