Principal Consultant implementing the Charles River Investment Management Solution for wealth management clients. Analyzing client requirements and ensuring successful project delivery with team collaboration.
LG
Onsite Solutions Consultant – Analytics, Innovation
Posted 3 hours ago
About the role
- Solutions Consultant specializing in quantitative finance and AI innovation at LSEG. Collaborating with clients to develop data-driven solutions and AI workflows.
Responsibilities
- Own the Quant & AI Agenda: You will be our subject matter expert on quantitative analytics, machine learning in finance, and AI-powered workflows. You will guide clients on best practices across pricing, risk, portfolio construction, and alpha generation.
- Prototype and Build: You will create proof-of-concepts, analytical demos, and AI-assisted workflows using LSEG's data and analytics APIs. We encourage you to use Python, LLMs, and LSEG's MCP tooling to rapidly turn client problems into working solutions.
- Translate and Communicate: We need someone who can connect complex quantitative models with business stakeholders — transforming sophisticated analytics into clear narratives and visual outputs that resonate with both technical and non-technical audiences.
- Innovate with AI: You will spot opportunities to embed AI and large language model capabilities into client workflows — including agentic analytics, natural language interfaces to financial data, and automated reporting pipelines.
- Collaborate and Co-Create: We work closely together — you will partner with solution sellers, product managers, and quant researchers to design solutions that draw on LSEG's full data and analytics offering.
- Facilitate Client Discovery: You will lead workshops and ideation sessions to surface unmet analytical needs, co-create solution roadmaps, and identify growth opportunities for our clients and our business.
- Lead Engagements End-to-End: You will own the full lifecycle of client consulting engagements — from requirements gathering and solution design through delivery, documentation, and handoff.
- Drive Presales and Bespoke Development: You will support the presales lifecycle — from discovery and solution design through proof-of-concept delivery and commercial closure — while leading bespoke engagements where custom analytical or AI-powered solutions are built to meet specific client needs.
- Respond Quickly: We move fast. You will meet client needs with creativity and urgency, proposing solutions that deliver tangible, measurable value.
- Win Together on RFPs and RFIs: You will contribute quantitative and AI-specific content to proposals, helping us respond to client tenders with precision and commercial awareness.
Requirements
- Bachelor's degree in Finance, Mathematics, Engineering, or Computer Science; CFA, CQF, or equivalent certification preferred
- 3–5 years of experience in financial technology, quantitative research, or analytics consulting
- Strong foundation in quantitative finance, including pricing models across Fixed Income, FX, Equity, and Derivatives
- Hands-on experience applying machine learning and AI in finance — including NLP, time series forecasting, classification models, and generative AI tools
- Proficiency in Python and familiarity with frameworks such as scikit-learn, PyTorch, or LangChain
- Experience with cloud data platforms such as Snowflake or Databricks, and hands-on exposure to building AI agents and skills, is preferred
- Proven experience building and delivering analytical proof-of-concepts in client-facing settings
- Strong data intuition — you can find signal in noisy financial datasets and communicate findings with confidence
- Excellent communication skills, with the ability to engage audiences from trading desks to the C-suite
- At least one successfully delivered end-to-end analytics or AI solution in a consulting or presales context.
Benefits
- Competitive salary and comprehensive benefits package
- A front-row seat to the convergence of AI and institutional finance
- Opportunities to work with leading financial institutions across APAC
- A collaborative, inclusive environment where curiosity and innovation are celebrated
- Flexible working arrangements to support your work-life balance
- Continuous learning and professional development opportunities
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