Prime Risk Senior Developer - VP

Overview

Embark on a transformative journey as a Prime Risk Senior Developer - VP  vision is clear - to redefine the future of banking by crafting innovative solutions. In this role, you will be part of the Liquid Financing Technology team. Our team is currently investing in building a modern, Client Risk Management platform, cross-asset risk management solution that delivers real-time analytics, AI enabled workflows, and reporting for front-office users.

In this role, you will be responsible for driving the core risk analytics integration within the platform, driving the roadmap for analytics, valuation inputs, scenarios, sensitivities, stress frameworks, and model integrations while collaborating closely with Front Office desk, quant, and core risking platform teams in alignment with Market’s Risk architecture framework and guidelines. In this role, you will utilize your deep engineering knowledge with practical quantitative skills and considerable product knowledge across market, liquidity, and intraday exposure risk.

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
• Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
• Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
• Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
• Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions.

• Extensive software development experience in front office, quant or risk technology teams within investment banking or similar financial institution
• Experience with derivative pricing and Greeks in either Equities, Rates or Credit asset classes
• Experience with Python and Spark for distributed and real time data processing leveraging Kafka or equivalent streaming platforms
• Experience with AWS services such as S3, EC2, EKS/ECS, Lambda, Glue, Athena, Step Functions, Dynamo
  
  DB, and RDS for scalable compute, containerized deployment of risk engines and real-time services.
• Considerable quantitative reasoning and software design skills. Deep understanding of SDLC practices including CI/CD, Dev Ops & Engineering practices

• Experience working with data warehouses, data lakes, and distributed data systems
• Experience with prime brokerage / prime finance risk platforms or FO/MO risk tools (e.g., real‑time exposure, VaR/stress, PFE, or x‑asset risk engines)
• Knowledge on Regulatory risk frameworks ( Basel, FRTB, PRA, Fed )

• You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.
• This role is located in our New York, NY office.
• Minimum Salary: $170,000
• Maximum Salary: $230,000
• The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.

• Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
• Oversee timelines, team allocation, risk…