FRTB IMA Quantitative Risk & Technology Consultant

Business Integration Partners (BIP) is Europe’s fastest growing digital consulting company and are on track to reach the Top 20 by 2030, with an expanding global footprint in the US (New York, Charlotte, Chicago, and Houston). Operating at the intersection of business and technology we design, develop, and deliver sustainable solutions at pace and scale creating greater value for our customers, employees, shareholders, and society. BIP specializes in high-impact consulting services across multiple industries with 6,000 employees worldwide. Our domains include Financial Services business serves Capital Markets, Insurance and Payments verticals, supplemented with Data & AI, Cybersecurity, Risk & Compliance, Change Management and Digital Transformation practices. We integrate deep industry expertise with business, technology, and quantitative disciplines to deliver high-impact results for our clients. BIP is currently expanding its footprint in the United States, focusing on growing its Capital Markets and Financial Services lines. Our teams operate at the intersection of business strategy, technology, and data to help our clients in driving smarter decisions, reducing risks, and staying ahead in a fast-evolving market environment. Role Overview We are seeking an experienced FRTB IMA Quantitative Risk & Technology Consultant to support a 2027 Internal Models Approach submission following recent U.S. federal prudential regulatory proposals. This role will focus on Rates, FX and Credit desks, helping assess IMA feasibility, modellable risk factor coverage, RFET, PLAT, P&L attribution, and front-to-back implementation readiness. The consultant will work closely with quantitative strategists, risk, finance, front-office, technology and regulatory stakeholders to define IMA scope, identify remediation needs, and upgrade front-office risk and analytics platforms. Key Responsibilities Define and document IMA scope, success criteria, milestones, dependencies and stakeholder engagement plans. Assess desk and product readiness across Rates, FX and Credit, prioritizing high-impact desks based on capital impact, ROI and implementation feasibility. Evaluate modellable and non-modellable risk factors, observable inputs, RFET coverage, historical data sufficiency and time-series quality. Review front-to-back trade coverage, booking consistency, risk-factor generation, model inputs/outputs and data reconciliation across front office, risk and finance. Analyze PLAT, backtesting results, unexplained P&L drivers and early indicators of IMA approval risk. Assess model assumptions, calibration, sensitivity calculations, parameter estimation, numerical implementation and configuration across asset classes. Analyze volatility surfaces, yield curves, FX and credit exposures, including illiquid, exotic and regional products. Identify NMRF risks for complex books, sparse data environments, EM volatilities, single-name liquidity, embedded options and exotic payoff structures. Develop remediation roadmaps with clear owners, dependencies, mitigating actions and delivery milestones. Support front-office risk and analytics implementation, including pricing and risk model integration, RFET enhancements, PLAT diagnostics, testing, release management and BAU runbooks. Prepare model validation, audit and regulatory documentation, leveraging automation and GenAI where appropriate. Support reporting automation, regulatory submission evidence, audit trails, jurisdictional parameterization and infrastructure performance optimization. Required Qualifications Strong experience with FRTB IMA, RFET, PLAT, backtesting, expected shortfall, risk-factor modellability and market risk capital frameworks. Background in Rates, FX, Credit, FICC, macro trading products or GSIB market risk environments. Experience working with quantitative analytics platforms, pricing models, market data, risk systems and front-to-back controls. Strong understanding of modellable and non-modellable risk factors, historical data requirements, sensitivity calculations and P&L attribution. Ability to assess complex products, illiquid instruments, volatility surfaces, yield curves, credit exposures and exotic payoffs. Experience with large-scale implementation programs involving risk, finance, front office, model validation, technology and regulatory teams. Strong documentation, stakeholder management, problem-solving and delivery skills. Preferred Qualifications Hands-on experience with front-office risk and analytics platforms. Experience supporting regulatory submissions, model validation, audit reviews or market risk transformation programs. Familiarity with data sourcing, lineage, reconciliation, controls, automation and reporting infrastructure. Experience with Agile delivery, scrum reporting, governance, SLAs, release management and production support. Exposure to Python, SQL, data engineering, automation or GenAI-enabled documentation and analysis tools. The base salary range for this role is $130,000 - $180,000 Choice of medical, dental, vision insurance. Voluntary benefits. Short- and long-term disability. HSA and FSAs. Matching 401k. Discretionary performance bonus. Employee referral bonus. Employee assistance program. 11 public holidays. 20 days PTO. 7 Sick Days. PTO buy and sell program. Paid parental leave. Remote/hybrid work environment support. For more information about BIP US, visit It is BIP US Consulting policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship, or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds. BIP US provides a reasonable range of compensation for our roles. Actual compensation is influenced by a wide array of factors including but not limited to skill set, education, level of experience, and knowledge. #J-18808-Ljbffr BIP US