Jobs at Zanders

Lead quantitative development across client projects, setting technical direction for high-performance pricing and risk libraries. Design scalable HPC and numerical computing solutions, resolve performance issues, oversee implementation and testing, and maintain senior client relationships. Lead, coach, and develop consultants and developers while supporting proposals, business development, and practice growth. The role focuses on derivatives pricing, market risk, counterparty risk, margin models, and production-grade software delivery.

Develop and optimize high-performance C++ pricing and risk libraries for financial institutions. Translate quantitative methods into scalable production code, using profiling, parallel and concurrent programming, and potentially GPU computing. Responsibilities include technical design, testing, code reviews, client deliverables, stakeholder communication, and knowledge sharing across quantitative finance and HPC projects.

Advise multinational clients on treasury technology strategy, vendor selection and implementation of TMS solutions; manage treasury advisory projects, coach junior staff, drive business development, research market/product developments, and run internal/external knowledge sessions.

Advise multinational clients on treasury strategy, operating models, cash and liquidity management, payments, bank connectivity, financial risk, governance, and treasury technology. Lead project workstreams, manage scope and timelines, analyze client challenges, coordinate stakeholders, coach junior consultants, support proposals and business development, and contribute to knowledge-sharing initiatives. The role involves Belgian and international engagements across corporate treasury and treasury consulting.

Leads end-to-end credit risk model development engagements for banking clients, including PD, LGD, and CCF models. Owns scope, budgets, methodology, regulatory alignment, quality, and delivery while reviewing or writing code in R, Python, or SQL. Manages consultant teams, advises senior banking stakeholders, develops commercial opportunities, coaches consultants, and contributes to practice growth through expertise sharing and industry engagement.

Manage credit risk consulting engagements from client contact through final deliverables. Lead small teams on model development programs, develop and validate PD, LGD, and CCF models, and write production-quality Python in Databricks. Apply IRB, IFRS 9, and stress-testing requirements, advise client stakeholders, manage scope and budgets, contribute to proposals, develop practice expertise, and coach consultants.

Lead end-to-end Treasury Management System implementations for corporate, financial institution, and public-sector clients. Own project plans, budgets, governance, risks, change control, stakeholder relationships, team leadership, training, adoption, and go-live delivery. Coordinate consulting, client, and vendor teams while managing multiple implementations. Contribute to implementation methodology, templates, lessons learned, and treasury technology market knowledge.

Develop and validate quantitative credit risk models, including A-IRB, IFRS 9, PD, LGD, CCF, stress testing, and ESG models. Work hands-on with Python, client data, and model documentation while applying CRD, CRR, and EBA requirements. Own engagement workstreams, manage client communication, coach junior consultants, contribute to internal knowledge, and support proposals and practice initiatives.

Advise public-sector and corporate clients on treasury, financing, investment feasibility, risk, budgets, cash-flow forecasting, and treasury policies. Structure financing solutions, assess proposals, support Treasury Committees, present recommendations to executive boards, and manage multiple consulting engagements across scope, planning, budget, and quality. Monitor market and regulatory developments and translate insights into actionable financial recommendations.

Leads complex non-financial risk consulting engagements for banks and financial institutions. Advises clients on governance, risk frameworks, internal controls, operational resilience, outsourcing risk, and regulatory compliance. Owns project delivery, stakeholder management, quality assurance, business development, and service offering development. Monitors regulatory developments, provides actionable insights, builds industry relationships, and mentors consultants.

Lead end-to-end treasury technology consulting engagements, including technology landscape advice, vendor selection, system implementations, roadmaps, and project delivery. Manage scope, budgets, risks, timelines, stakeholders, and client accounts while developing consultants and supporting business development. Advise on treasury management, in-house banking, payment factories, and bank connectivity, contribute to proposals and knowledge sessions, and track emerging treasury technology trends.

Design, implement and govern GenAI solutions for financial institutions, build LLM-based systems (fine-tuning, RAG, agents), perform model validation and AI risk work, advise on strategy and roadmaps, and lead client engagements across risk domains including financial economic crime.

Lead end-to-end Kyriba implementations (especially connectivity), scope and configure solutions, support clients, manage projects, advise on treasury technology, and contribute to business development and commercial activities.

Lead quantitative credit risk and ESG projects: develop and validate models (IRB, IFRS9, stress testing), advise on risk governance, drive business development in the German market, coach up to four consultants, support sales, and travel as needed.

Lead treasury technology and transformation projects, advise on treasury processes and TMS selection/implementation, manage stakeholders, budgets and timelines, grow client relationships, coach consultants, contribute to practice development and thought leadership.

Support clients in developing, validating and reviewing credit risk models and frameworks (A-IRB/IFRS 9). Perform quantitative analysis using econometric, machine learning and AI techniques, review fintech usage and best practices, manage project delivery, and present analytical reports to clients and senior colleagues.

Lead development and delivery of AML models for transaction monitoring, CDD, sanctions screening and fraud detection. Manage multiple projects end-to-end from solution design to cloud implementation, mentor staff, support origination and quality assurance, and communicate results to stakeholders.

Lead quantitative credit risk projects including model development, validation and implementation, stress testing, model risk management and BCBS239. Advise clients on risk models, policies and governance across credit, market and liquidity risk, ESG and AI. Oversee and coach consultants, support business development and sales, expand German banking network, and manage up to four direct reports.

Lead treasury advisory engagements across the Benelux, driving business development, TMS selection/implementation, treasury operating model and technology strategy, and mentoring consulting teams while representing the firm in industry forums.