Total 6 job vacancies by Lighthouse Canton Pte. Ltd.

About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$ 5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are offering an AI Engineering Internship designed as a structured, mentored introduction to building production-grade AI systems inside a regulated wealth management firm. You will sit inside our small AI Lab and work alongside experienced engineers on real internal applications across Investment, Relationship Management, Risk, Operations, and Compliance - not toy projects, and not coffee runs.

What You Will Do

Building & Supporting AI Applications

• Pair with senior engineers on AI-powered internal applications using LLMs, RAG pipelines, and agents. Expect to start by reading code and small fixes, and ramp up to owning well-scoped features under guidance.
• Help build and tune retrieval systems: chunking strategies, embeddings, vector search, and basic re-ranking.
• Practise prompt engineering and context engineering—structuring inputs, managing memory, and compacting context - to keep agents coherent across multi-step tasks.
• Help wire internal knowledge bases, market data feeds, and operational systems into agents via Model Context Protocol (MCP) servers and other typed-tool interfaces.

Agent Harness & Evaluation

• Get hands-on with the agent harness - the runtime layer around the LLM that manages execution loops, tool calls, state, memory, and error handling. You will be expected to learn the vocabulary (ReAct, planner/executor, guardrails, permission gates, loop budgets) and apply it in real code.
• Help build evaluation harnesses: writing test cases, regression suites, deterministic checks (schema validation, citation checks),and simple LLM-as-judge graders—so we can tell whether changes actually improve quality.
• Instrument agents with basic observability: tracing tool calls, logging token usage, latency, and outcomes; help triage failure traces and feed lessons back into prompts and tool specs.
• Contribute to internal documentation on harness patterns, evals, and lessons learned - useful both to the team and to your own learning.

Collaboration & Knowledge Sharing

• Partner with stakeholders in Investment, Relationship Management, Risk, Operations, and Compliance to understand requirements—always alongside a senior team member.
• Take part in code reviews, design discussions, and weekly team check-ins. Asking questions is part of the job, not a sign of weakness.
• Present a short end-of-internship readout summarising what you built, what you learned, and what you would do differently.

What We Are Looking For

Technical Foundations

• Programming: Comfortable in Python from coursework, personal projects, or prior internships. Any exposure to JavaScript/TypeScript, Git, and the command line is a plus.
• AI/ML Curiosity: Has built at least one small project involving LLMs (e.g., via OpenAI, Anthropic, or open-source models) - a chatbot, a RAG demo, a hackathon project, a tinkering side project, an agent that does something silly. Quality of curiosity matters more than scale.
• Agentic AI Awareness: Familiar at a conceptual level with agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK) and modern terms like MCP, RAG, evals, and guardrails. We do not expect mastery - we expect that you have read about them and want to go deeper.
• AI-Assisted Development: Comfortable using coding assistants such as Claude Code, Codex, or GitHub Copilot as part of how you build - and aware that they need supervision, tests, and clear specs to produce reliable code.
• Data & Web Basics: Light exposure to databases (SQL, or any NoSQL store), and to web/API basics (HTTP, JSON, a back-end framework such as FastAPI or Flask) is helpful but not required.

Mindset & Soft Skills

• Genuine curiosity about AI, finance, and the messy intersection of the two. You should be excited to learn how a wealth management firm actually works.
• Comfort with ambiguity: real projects rarely arrive with neat specs. We will help you scope them, but we want someone willing to sit with uncertainty.
• Communication: able to explain technical ideas in plain English (and in writing), and to flag blockers early rather than getting stuck quietly.
• Integrity: this is a regulated environment. We need an intern who treats client data, MNPI, and internal information with the same care a full-time hire would.

Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Quantitative Finance, or a related field—or a recent graduate within 12 months.
• No prior professional experience required. Strong coursework, personal projects, open-source contributions, hackathon work, or research projects are all valid signals.
• Penultimate-year and final-year students are encouraged to apply.

Role Purpose

We are seeking Execution Traders to be based in our Singapore office. The role focuses on executing arbitrage and basis strategies for one of our funds during the London trading session.

Working Hours: 4:30 pm – 1:30 am (Singapore time)

Duties & Responsibilities

• Execute arbitrage and basis trading strategies efficiently and accurately.
• Monitor market conditions and pricing discrepancies across asset classes.
• Collaborate with portfolio managers and quantitative teams to implement trading strategies.
• Ensure adherence to risk limits and trading protocols.

Qualifications

Experience Required

• 1 to 2 years of experience in arbitrage strategies across asset classes is preferred.
• Exceptional candidates with a strong theoretical foundation in financial markets may also be considered.

Knowledge & Skillset Required

• Candidates should demonstrate a solid grounding in the following financial concepts: (the interview process will include multiple technical rounds to assess these competencies)
• Strong understanding of financial instruments, including their uses, pricing, advantages, and limitations
• Basic knowledge of foreign exchange (FX) products
• Fixed income pricing fundamentals
• Equity derivatives pricing
• Core concepts of arbitrage and basis trading
• Understanding of options and other derivatives, including payoffs
• Basic understanding of macroeconomics
• Strong fundamentals in data analysis
• Working knowledge of coding (any relevant programming language is a plus)

Job Description & Requirements

Keenai Global, part of Lighthouse Canton, is a digital-first wealth platform built for Accredited Investors in Singapore and the wider region. We combine institutional-quality investment solutions and CIO-led insights with a modern, intuitive client experience so clients can build globally diversified portfolios with confidence. We operate with bank-grade professionalism, high integrity, and a relentless focus on client outcomes with the agility and ownership culture of a fast-growing team.
As a Relationship Manager / Client Account Manager, you will own end-to-end client growth- from acquiring new Accredited Investor clients to deepening relationships, growing AUM, and expanding revenue across your portfolio. You will deliver high-quality advice and solutions across the product suite, drive adoption of the Keenai platform, and work closely with the CIO, advisory, and client service teams to provide a consistently exceptional client experience.

Success Measures

• New-to-platform client acquisition and funded accounts (quality and compliance aligned).
• Net new money (NNM) / AUM growth and revenue (recurring and transaction-led) from your portfolio.
• Client retention, share-of-wallet growth, and product penetration across key solutions.
• High-quality advisory discipline and digital adoption: regular portfolio reviews and clients actively using the platform.

Key Responsibilities
1) Client Acquisition (hunting)

• Build and manage a healthy pipeline of Accredited Investor prospects through referrals, events, partnerships, and targeted outbound activity.
• Convert prospects through consultative discovery, clear investment narratives, and timely follow-ups.

2) Onboarding and Activation

• Set clients up for early success: define objectives, risk profile, and an initial portfolio allocation.
• Drive activation by helping clients take first transactions and build confidence in using the platform.

3) Portfolio Growth and Revenue Generation (Farming)

• Own a client book and deliver structured engagement: periodic portfolio reviews, market updates, and proactive rebalancing recommendations.
• Deepen relationships to grow share of wallet, increase AUM, and expand revenue through suitable cross-sell and solutioning.
• Translate CIO views and market opportunities into actionable ideas aligned to client objectives and risk appetite.
• Identify retention risks early and execute recovery plans with high-touch communication and problem solving.

4) Client Experience and Stakeholder Management

• Be the primary point of contact for clients and deliver consistently high service standards across every interaction.
• Partner with the CIO, advisory, operations, and client service teams to deliver holistic advice and fast issue resolution.
• Maintain disciplined client communications and documentation in CRM to ensure continuity, transparency, and follow-through.

5) Risk Management and Regulatory Compliance

• Conduct all activities within the applicable regulatory framework and internal policies (including suitability, documentation, and communication standards).
• Stay current on relevant regulations impacting client interactions, product suitability, and onboarding/KYC requirements.
• Protect the firm’s reputation by demonstrating the highest ethical standards and professional conduct.

6) Team Contribution

• Share best practices and contribute to playbooks, process improvements, and client education initiatives(webinars, briefings, events).
• Provide structured feedback on client needs and platform gaps to improve product, UX, and advisory tooling.

Qualifications and Experience

• 1-2 years’ experience as an RM/ Client Advisor in consumer banking, priority banking, private banking, or EAM, covering affluent to HNW clients.
• Understanding of capital markets and investment products; able to articulate risk/return trade-offs clearly and responsibly.
• Comfortable working in a digital-first environment and using CRM/workflow tools to run an efficient client book.

Licensing and Certifications

• Relevant Singapore accreditations required for advising/dealing.
• Additional certifications such as CACS are a plus but not mandatory.

Core Competencies

• Consultative selling and strong discovery skills; ability to translate client needs into solutions.
• Portfolio review discipline and the ability to communicate market views with clarity and conviction.
• High ownership mindset, strong execution, and comfort in a fast-paced, growth environment.
• Excellent communication and stakeholder management; calm, professional, and client-first under pressure.
• High integrity, attention to detail, and strong documentation habits.

About Lighthouse Canton Asset Management

Lighthouse Canton Asset Management invest on behalf of some of the world's largest institutional investors such as pension funds, sovereign funds, and insurance companies through its public and private market funds.

Our public markets funds combine both top-down and bottom-up research with a disciplined approach to portfolio construction and management. Current funds include Global Macro and Indian Equities.

Our private markets funds invest across the capital structure with debt and equity, positioning us as early movers amongst nascent fund managers. Current funds include:

• Life Sciences Real Estate
• Private Credit: (A) Special Credit Opportunities, (B) Venture & Growth Debt, (C) Supply Chain Credit
• Venture Capital

Job Purpose

We are looking for a Private Credit Intern who will support the Private Credit team in identifying, analysing, structuring and monitoring private credit investments. This is a hands-on role offering exposure to deal origination, execution and syndication, including due diligence, financial modelling, portfolio monitoring, and risk assessment. The intern will gain experience across the three private credit strategies within an institutional investment framework.

Individual Contributor or People Manager

Individual Contributor.

Job Responsibilities

(A) Investment Research and Deal Screening

• Assist in researching potential private credit opportunities, including performing credit, structured credit, asset-backed lending, dislocated credit, sponsor-finance/event-driven, unlisted high-yield bonds, special situations, secondaries, venture & growth debt, supply chain credit, etc.
• Support monitoring credit market trends, economic indicators, and sector developments.
• Assist in drafting preliminary investment memoranda and credit analyses under supervision.

(B) Due Diligence Support

• Support the review of financial statements and key performance indicators for credit assessments.
• Assist in evaluating credit risks such as leverage, liquidity, collateral, and cash flow stability.
• Coordinate with relevant stakeholders to support legal, operational, and commercial due diligence activities.

(C) Financial Modelling and Valuation

• Assist in maintaining and updating financial models under the guidance of senior team members.
• Support sensitivity and scenario analysis on key credit variables.
• Provide assistance in evaluating pricing, structuring, and terms for potential investments.

(D) Risk Assessment and Portfolio Monitoring

• Assist in assessing borrower creditworthiness and updating internal risk ratings.
• Support monitoring of portfolio performance, covenant compliance, and borrower behaviour.
• Help identify and escalate potential credit concerns under supervision.

(E) Documentation and Transaction Support

• Assist in preparing and reviewing transaction documentation, including loan agreements and security arrangements.
• Support coordination with legal, compliance, and external counterparties as required.

(F) Reporting and Presentation Preparation

• Assist in preparing internal reports, presentations, and dashboards on deal pipelines, portfolio performance, and risk metrics.
• Provide support during investment committee meetings and other stakeholder discussions.

(G) General Research and Administrative Support

• Conduct basic macroeconomic and sectoral research relevant to private credit strategies.
• Provide ad hoc analytical or administrative support to the Private Credit team as assigned.

Qualifications and Competencies

• Undergraduate student from Finance, Economics, Accounting, or a related discipline.
• Strong analytical and quantitative skills, with familiarity in financial statement analysis and credit metrics.
• Proficiency in Microsoft Excel; basic exposure to financial modelling or valuation is advantageous.
• High attention to detail, accuracy, and a willingness to learn.
• Strong written and verbal communication skills.
• Proactive, reliable, and able to work effectively as part of a team.
• A foundational understanding of credit markets, debt instruments, and financial regulations is preferred.
• Candidates with relevant internship experience preferred.

Internship Duration

• Preferably someone who can commit to at least 6 months starting June 2026.

About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$ 5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are seeking a hands-on HR Business Partner to support day-to-day HR operations and partner closely with business over an8-month contract. In this position, you will primarily act as a consultant for company management on all issues related to human resources. You should be a proactive communicator, someone who can successfully balance employee needs with business objectives to create integrated solutions.

Key Responsibilities

• Act as the first point of contact for employee relations and HR queries.
• Manage end-to-end HR operations (onboarding, offboarding, employee records, work pass application etc.).
• Partner with Managers on workforce planning, performance management, and employee engagement.
• Ensure compliance with company policies and local labor regulations.
• Assist in implementing HR initiatives, policies, and process improvements.
• Work with payroll vendor in ensuring the accuracy and timeliness of monthly payroll processing.
• Provide monthly payroll inputs and sign-off the payroll.

Key Qualifications & Experience

• 3 to 6 years of HR experience, preferably in an HRBP or generalist role.
• Strong knowledge of employment practices and labour law in Singapore.
• Ability to balance strategic partnering with hands-on execution.
• Excellent communication and stakeholder management skills.
• Able to work independently in a fast-paced environment.

Job Purpose

The Senior Associate/AVP, Investments supports the investments team in sourcing, analyzing, executing, and monitoring investment opportunities. This role involves deep financial analysis, market research, due diligence, and ongoing portfolio support. The Senior Associate/AVP works closely with senior investment professionals and plays a key role in deal execution and decision-making.

Individual Contributor or People Manager
Individual Contributor

Duties and Responsibilities
Investment Analysis & Due Diligence

• Build and maintain financial models (DCF, comparable companies, precedent transactions, LBO where applicable).
• Analyze financial statements, business models, and industry dynamics.
• Conduct commercial, financial, and operational due diligence.
• Prepare investment memoranda and presentation materials for investment committees.

Deal Execution

• Support transaction execution from initial screening through closing.
• Coordinate with external advisors (bankers, consultants, legal counsel, auditors).
• Assist in negotiating transaction terms and documentation.

Market & Industry Research

• Research industries, markets, and competitive landscapes.
• Track market trends, valuation benchmarks, and comparable transactions.
• Identify and evaluate potential investment opportunities.

Portfolio Management

• Monitor portfolio company performance against investment theses.
• Assist with portfolio company reporting and board materials.
• Support value-creation initiatives and strategic projects.

Internal Collaboration

• Work closely with Partners, Principals, and Analysts.
• Contribute to investment strategy discussions and team meetings.
• Help improve internal processes, tools, and research databases.

Qualifications
Education

• Bachelor’s degree in finance or a related discipline such as Accounting, Economics, or Business.
• Relevant professional certifications (e.g. CFA, CAIA) would be an advantage.

Experience

• Min. 4 years of relevant experience in asset management, private banking, or a related investment advisory environment.
• Strong understanding of financial modelling and valuation techniques.

Domain Skills

• Investment expertise – should have an excellent grasp of the differences between investment-related products and how they can support client goals.
• Client service – should be able to understand a client’s goals and make financial decisions that support both long- and short-term investment objectives.
• Familiarity with financial regulations – should possess a high level of knowledge regarding financial laws and procedures to protect client investments and ensure that they are making proper decisions.

Soft Skills

• Networking – Experience with building relationships and networking to stay informed of industry trends.
• Able to influence effectively at different levels within the organization.
• Demonstrate strong verbal and written communication skills.
• High standard of work, accurate record keeping and attention to detail, able to organize and prioritize workload.
• Able to multi-task.
• Good analytical and problem-solving skills able to drive forward positive solutions.
• A team player and able to work independently using initiative.