SymphonyAI -

Client engagement and solution design :

- Lead discovery workshops to elicit requirements, define success metrics, and translate business problems into AI solutions and delivery plans.

- Provide innovation, leadership and influence in the design of client-centric solutions that are aligned with the SymphonyAIs product offering.

- Create SOW inputs, estimates, and technical approach for services engagements; support pre-sales with demos, POVs, and solution narratives.

- Manage the client review and sign-off process for the suite of functional documents and artefacts.

- Take overall responsibility for the documentation of functional artefacts.

Model development and delivery :

- Build and evaluate models for key financial services use cases (e.g., anti-money laundering, fraud detection, alert triage, trading surveillance, credit risk, customer intelligence).

- Apply advanced techniques: NLP/LLMs (RAG, summarisation, extraction, classification), graph/network analytics, time series, anomaly detection, and ensemble methods.

- Implement explainability (e.g., SHAP, LIME), bias/fairness testing, performance monitoring, and model risk controls to meet regulatory and enterprise standards.

- Deliver high-quality PoCs and pilots; productionise with engineering using robust MLOps practices (CI/CD, model registry, experiment tracking, feature management).

Data engineering and integration :

- Work with client and internal teams to profile, transform, and validate data; build performant pipelines using SQL/Spark and orchestration tools.

- Integrate AI services with SymphonyAI products and client systems via APIs, microservices, and event streams; optimize for scalability, latency, and cost.

- Implement retrieval components (e.g., vector databases) and prompt orchestration frameworks for LLM-based solutions.

Change management and enablement :

- Plan and execute user acceptance testing, training, and knowledge transfer to drive adoption and embed AI in business workflows.

- Mentor customer and internal teams; contribute reusable assets (templates, prompts, pipelines, notebooks) to accelerate future engagements.

- Provide thought leadership by sharing best practices and feedback to product and R&D for roadmap influence.

Key Requirements :

- Expertise in industry standard modelling tools and methods.

- Client-facing experience is essential including delivering presentations and product demonstrations, running workshops and managing client's expectations.

- Experience of delivering complex business or technology solutions, from gathering requirements to designing solutions.

- Excellent communication skills, both written and verbal and able to communicate confidently and effectively at any level of the organisation.

- Ability to grasp technical concepts and translate them into business solutions.

- Good working knowledge of SQL and experience with Databases such as Oracle, DB2, SQL Server and Postgres.

- Good working knowledge of Python (Pandas, NumPy, and scikit-learn) or similar.

- An understanding of compliance processes and workflows within the financial services industry advantageous.

- Experience of software development lifecycle practices (preferably Agile).

- Good knowledge of IT systems, architectures and terminology.

- Strong interpersonal/leadership skills.

- Knowledge and exposure with Unix (Solaris, AIX, Linux, HP UX) is advantageous.

- Advantageous to have knowledge of financial regulatory modules, ideally to include AML, KYC, FATCA, CRS, and related topics.