H-1B1 Singapore Visa Credit Analyst Jobs
Credit Analyst roles qualify for H-1B1 Singapore visa sponsorship as specialty occupations requiring at least a bachelor's degree in finance, economics, or a related field. Singapore nationals bypass the H-1B lottery entirely, with the 5,400-visa annual cap rarely reaching capacity and applications processed directly at the U.S. consulate in Singapore.
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Get Access To All JobsOver the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
SUMMARY
Ares is seeking a Vice President, AI Credit Product to define and lead the AI product strategy supporting the firm's global Credit investment platform.
This leader will partner closely with Credit investment professionals, Engineering, Data & AI, Operations, and Infrastructure teams to identify, prioritize, and deliver AI-powered products and capabilities that enhance investment decision-making, streamline investment workflows, and transform how investment teams source, evaluate, execute, and monitor investments.
The role spans the end-to-end Credit investment lifecycle—including deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics—and is responsible for embedding AI across the firm's investment operating model.
Reporting to the Managing Director, Head of Credit Product, this leader will serve as the primary Product partner to the Enterprise Data & AI organization, translating emerging AI capabilities into scalable products that create measurable business value across Direct Lending, Alternative Credit, Opportunistic Credit and Liquid Credit strategies.
The successful candidate will combine strong product leadership, investment technology expertise, and a deep understanding of modern AI capabilities. This individual will shape Ares' AI product vision for Credit while driving AI adoption across investment workflows and fostering AI-native ways of working throughout the Credit Product organization.
This role requires a hands-on product leader who is equally comfortable defining long-term product strategy and rapidly prototyping new ideas using modern AI-enabled product development tools. The ideal candidate enjoys experimenting with emerging technologies, validating concepts with users, and partnering closely with Engineering to bring innovative products to market.
PRIMARY FUNCTIONS & RESPONSIBILITIES:
AI Product Strategy & Vision
- Define and execute the AI product strategy supporting Ares' global Credit investment platform.
- Develop and maintain a multi-year AI product roadmap aligned with Credit business priorities and investment strategy.
- Partner closely with investment professionals to identify opportunities where AI can improve investment decision-making, streamline investment workflows, and enhance operational scale.
- Translate investment workflows, market trends, business priorities, and user feedback into scalable AI product opportunities.
- Evaluate build, buy, and partner opportunities across the rapidly evolving AI ecosystem.
- Establish and manage a portfolio of AI products aligned with measurable business outcomes.
AI-Enabled Investment Workflows
- Lead AI product strategy supporting the end-to-end Credit investment lifecycle, including:
- Market intelligence and deal sourcing
- Deal screening and underwriting
- Financial analysis and document intelligence
- Diligence workflows
- Investment Committee preparation
Enterprise AI Platform & Investment Intelligence
- Partner closely with the Enterprise Data & AI organization to define the product strategy for Ares' proprietary AI platform and gateway supporting Credit investing.
- Drive the development of reusable AI capabilities that power investment workflows across origination, diligence, portfolio management, and investment monitoring.
- Define the product vision for enterprise investment knowledge management, intelligent search, document intelligence, and investment copilots.
- Partner with Engineering to integrate internal data, investment platforms, research, and proprietary content into a unified AI experience for investment professionals.
- Help establish a differentiated investment intelligence platform leveraging proprietary data, workflows, and institutional knowledge.
Product Execution & Delivery
- Partner closely with Engineering and Enterprise Data & AI teams to define, prioritize, and deliver AI-enabled products across the Credit platform.
- Define product vision, business capabilities, product requirements, success metrics, and release priorities.
- Lead AI products from concept and rapid prototyping through production deployment and ongoing product evolution.
- Measure adoption, business value, and user outcomes to continuously improve product capabilities.
- Drive AI adoption through iterative development, user feedback, and continuous product enhancement.
Cross-functional Leadership
- Partner closely with Investment teams, Engineering, AI & Data, Operations & Infrastructure teams.
- Serve as the AI Product leader for Credit within enterprise technology governance and AI strategy discussions.
- Partner with Product Managers across the Credit Product organization to embed AI capabilities throughout the investment lifecycle.
- Promote responsible AI adoption, governance, security, and change management practices.
- Serve as a strategic advisor to senior business and technology leaders on the adoption of AI across the Credit platform.
Product Innovation & Rapid Prototyping
- Foster a product-led culture of experimentation by rapidly validating ideas through prototypes, proofs of concept, and user feedback before committing to full-scale product development.
- Stay current with emerging AI technologies, foundation models, agentic AI frameworks, enterprise search capabilities, and modern product development tools, continuously evaluating their applicability to Credit investing.
- Leverage AI-assisted product development and rapid prototyping tools to create mockups, workflows, proof-of-concepts, and interactive demonstrations that accelerate product discovery, stakeholder alignment, and engineering execution.
- Demonstrate a hands-on approach to product management by utilizing AI-enabled development tools, low-code/no-code platforms, and rapid prototyping technologies to validate concepts and accelerate product delivery.
- Evaluate and adopt emerging AI-native product development tools such as Cursor, Claude Code, GitHub Copilot, Replit, Lovable, v0, Figma AI, or similar technologies to improve product discovery and innovation.
Innovation & Market Leadership
- Monitor developments in Generative AI, AI agents, enterprise search, workflow automation, and investment technology.
- Evaluate emerging vendors and technologies.
- Build a pipeline of AI innovation opportunities aligned with Credit business priorities.
- Help establish Ares as a leader in AI-enabled investing.
QUALIFICATIONS
Education
- Bachelor's degree required in Computer Science or adjacent fields. Advanced degree preferred.
Experience Required:
- Strong understanding of private credit investment workflows spanning deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics.
- Strong understanding of modern AI capabilities, including Generative AI, Large Language Models (LLMs), AI assistants and copilots, agentic AI, intelligent workflow automation, Retrieval-Augmented Generation (RAG), enterprise search, and enterprise AI platforms.
- Experience identifying, defining, and delivering AI-powered products that leverage enterprise knowledge, document intelligence, workflow automation, or intelligent decision support to improve business outcomes.
- Experience partnering closely with Engineering, Data Science, and Enterprise Data & AI organizations to define product strategy and deliver enterprise AI capabilities.
- Familiarity with prompt engineering, tool/function calling, semantic search, vector databases, AI evaluation, human-in-the-loop workflows, context management, and responsible AI governance.
- Demonstrated hands-on experience using modern AI-assisted product development, rapid prototyping, design, or low-code/no-code tools to rapidly validate ideas and communicate product concepts.
- Strong product strategy, roadmap development, product discovery, stakeholder management, and product lifecycle management skills with the ability to translate complex business workflows into scalable technology solutions.
- Excellent communication, executive presentation, and cross-functional leadership skills with the ability to influence senior business and technology stakeholders.
General Requirements:
- 9-12 years of experience in Product Management, Investment Technology, Digital Transformation, or Financial Technology.
- Experience supporting alternative investments, private credit, capital markets, or institutional investment platforms.
- Demonstrated experience defining product vision, developing multi-year product roadmaps, and delivering enterprise technology products from concept through production.
- Experience delivering AI-enabled products, digital assistants, enterprise search, knowledge management, document intelligence, workflow automation, or intelligent decision-support capabilities.
- Experience evaluating emerging technologies, conducting proof-of-concepts, and assessing build vs. buy decisions for enterprise AI solutions.
- Demonstrated ability to lead complex cross-functional initiatives across Product, Engineering, Investment, Operations, and Data organizations in a highly matrixed environment.
Reporting Relationships
Global Head of Investment Technology
Compensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$225,000 - $250,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.
Job Description
SUMMARY
Ares is seeking a Vice President, AI Credit Product to define and lead the AI product strategy supporting the firm's global Credit investment platform.
This leader will partner closely with Credit investment professionals, Engineering, Data & AI, Operations, and Infrastructure teams to identify, prioritize, and deliver AI-powered products and capabilities that enhance investment decision-making, streamline investment workflows, and transform how investment teams source, evaluate, execute, and monitor investments.
The role spans the end-to-end Credit investment lifecycle—including deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics—and is responsible for embedding AI across the firm's investment operating model.
Reporting to the Managing Director, Head of Credit Product, this leader will serve as the primary Product partner to the Enterprise Data & AI organization, translating emerging AI capabilities into scalable products that create measurable business value across Direct Lending, Alternative Credit, Opportunistic Credit and Liquid Credit strategies.
The successful candidate will combine strong product leadership, investment technology expertise, and a deep understanding of modern AI capabilities. This individual will shape Ares' AI product vision for Credit while driving AI adoption across investment workflows and fostering AI-native ways of working throughout the Credit Product organization.
This role requires a hands-on product leader who is equally comfortable defining long-term product strategy and rapidly prototyping new ideas using modern AI-enabled product development tools. The ideal candidate enjoys experimenting with emerging technologies, validating concepts with users, and partnering closely with Engineering to bring innovative products to market.
PRIMARY FUNCTIONS & RESPONSIBILITIES:
AI Product Strategy & Vision
- Define and execute the AI product strategy supporting Ares' global Credit investment platform.
- Develop and maintain a multi-year AI product roadmap aligned with Credit business priorities and investment strategy.
- Partner closely with investment professionals to identify opportunities where AI can improve investment decision-making, streamline investment workflows, and enhance operational scale.
- Translate investment workflows, market trends, business priorities, and user feedback into scalable AI product opportunities.
- Evaluate build, buy, and partner opportunities across the rapidly evolving AI ecosystem.
- Establish and manage a portfolio of AI products aligned with measurable business outcomes.
AI-Enabled Investment Workflows
- Lead AI product strategy supporting the end-to-end Credit investment lifecycle, including:
- Market intelligence and deal sourcing
- Deal screening and underwriting
- Financial analysis and document intelligence
- Diligence workflows
- Investment Committee preparation
Enterprise AI Platform & Investment Intelligence
- Partner closely with the Enterprise Data & AI organization to define the product strategy for Ares' proprietary AI platform and gateway supporting Credit investing.
- Drive the development of reusable AI capabilities that power investment workflows across origination, diligence, portfolio management, and investment monitoring.
- Define the product vision for enterprise investment knowledge management, intelligent search, document intelligence, and investment copilots.
- Partner with Engineering to integrate internal data, investment platforms, research, and proprietary content into a unified AI experience for investment professionals.
- Help establish a differentiated investment intelligence platform leveraging proprietary data, workflows, and institutional knowledge.
Product Execution & Delivery
- Partner closely with Engineering and Enterprise Data & AI teams to define, prioritize, and deliver AI-enabled products across the Credit platform.
- Define product vision, business capabilities, product requirements, success metrics, and release priorities.
- Lead AI products from concept and rapid prototyping through production deployment and ongoing product evolution.
- Measure adoption, business value, and user outcomes to continuously improve product capabilities.
- Drive AI adoption through iterative development, user feedback, and continuous product enhancement.
Cross-functional Leadership
- Partner closely with Investment teams, Engineering, AI & Data, Operations & Infrastructure teams.
- Serve as the AI Product leader for Credit within enterprise technology governance and AI strategy discussions.
- Partner with Product Managers across the Credit Product organization to embed AI capabilities throughout the investment lifecycle.
- Promote responsible AI adoption, governance, security, and change management practices.
- Serve as a strategic advisor to senior business and technology leaders on the adoption of AI across the Credit platform.
Product Innovation & Rapid Prototyping
- Foster a product-led culture of experimentation by rapidly validating ideas through prototypes, proofs of concept, and user feedback before committing to full-scale product development.
- Stay current with emerging AI technologies, foundation models, agentic AI frameworks, enterprise search capabilities, and modern product development tools, continuously evaluating their applicability to Credit investing.
- Leverage AI-assisted product development and rapid prototyping tools to create mockups, workflows, proof-of-concepts, and interactive demonstrations that accelerate product discovery, stakeholder alignment, and engineering execution.
- Demonstrate a hands-on approach to product management by utilizing AI-enabled development tools, low-code/no-code platforms, and rapid prototyping technologies to validate concepts and accelerate product delivery.
- Evaluate and adopt emerging AI-native product development tools such as Cursor, Claude Code, GitHub Copilot, Replit, Lovable, v0, Figma AI, or similar technologies to improve product discovery and innovation.
Innovation & Market Leadership
- Monitor developments in Generative AI, AI agents, enterprise search, workflow automation, and investment technology.
- Evaluate emerging vendors and technologies.
- Build a pipeline of AI innovation opportunities aligned with Credit business priorities.
- Help establish Ares as a leader in AI-enabled investing.
QUALIFICATIONS
Education
- Bachelor's degree required in Computer Science or adjacent fields. Advanced degree preferred.
Experience Required:
- Strong understanding of private credit investment workflows spanning deal sourcing, deal screening, underwriting, diligence, investment committee, trade execution, portfolio management, portfolio monitoring, and investment analytics.
- Strong understanding of modern AI capabilities, including Generative AI, Large Language Models (LLMs), AI assistants and copilots, agentic AI, intelligent workflow automation, Retrieval-Augmented Generation (RAG), enterprise search, and enterprise AI platforms.
- Experience identifying, defining, and delivering AI-powered products that leverage enterprise knowledge, document intelligence, workflow automation, or intelligent decision support to improve business outcomes.
- Experience partnering closely with Engineering, Data Science, and Enterprise Data & AI organizations to define product strategy and deliver enterprise AI capabilities.
- Familiarity with prompt engineering, tool/function calling, semantic search, vector databases, AI evaluation, human-in-the-loop workflows, context management, and responsible AI governance.
- Demonstrated hands-on experience using modern AI-assisted product development, rapid prototyping, design, or low-code/no-code tools to rapidly validate ideas and communicate product concepts.
- Strong product strategy, roadmap development, product discovery, stakeholder management, and product lifecycle management skills with the ability to translate complex business workflows into scalable technology solutions.
- Excellent communication, executive presentation, and cross-functional leadership skills with the ability to influence senior business and technology stakeholders.
General Requirements:
- 9-12 years of experience in Product Management, Investment Technology, Digital Transformation, or Financial Technology.
- Experience supporting alternative investments, private credit, capital markets, or institutional investment platforms.
- Demonstrated experience defining product vision, developing multi-year product roadmaps, and delivering enterprise technology products from concept through production.
- Experience delivering AI-enabled products, digital assistants, enterprise search, knowledge management, document intelligence, workflow automation, or intelligent decision-support capabilities.
- Experience evaluating emerging technologies, conducting proof-of-concepts, and assessing build vs. buy decisions for enterprise AI solutions.
- Demonstrated ability to lead complex cross-functional initiatives across Product, Engineering, Investment, Operations, and Data organizations in a highly matrixed environment.
Reporting Relationships
Global Head of Investment Technology
Compensation
The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role.
$225,000 - $250,000
The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit.
Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
See all 239+ H-1B1 Singapore Visa Credit Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Credit Analyst Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Credit Analyst
Certify your credentials meet specialty occupation standards
Credit Analyst roles must require a specific bachelor's degree field, not just any degree. Pull the O*NET occupation profile for Credit Analysts to document the standard educational requirements before your employer files the Labor Condition Application.
Target banks with established H-1B1 Singapore filing history
Financial institutions that have filed H-1B1 visa petitions for Singaporean nationals before already have internal processes and legal counsel familiar with the consular route. Migrate Mate filters employers by H-1B1 visa LCA filing history so you can identify them directly.
Confirm your employer registers with E-Verify before filing
H-1B1 visa employers must be enrolled in E-Verify. If your offer comes from a firm that hasn't enrolled, the LCA can't be certified by DOL. Raise this during the offer stage, not after you've signed.
Benchmark your offered salary against DOL prevailing wage levels
Your employer must pay at least the prevailing wage for the Credit Analyst role in the work location. Use the OFLC Wage Search to verify the wage level before accepting an offer, since a below-threshold salary triggers LCA rejection.
Apply for your H-1B1 visa stamp at the Singapore consulate directly
Unlike H-1B, H-1B1 visa doesn't require USCIS to approve a petition before your interview. Bring the certified LCA, your job offer letter, and degree transcripts to your consulate appointment. The two-year initial validity period starts from your admission date, not the interview.
Track your admission period on your I-94, not your visa stamp
Your H-1B1 visa stamp validity and your authorized period of stay are different. Your I-94 controls how long you can work. Credit Analysts who confuse the two risk working beyond their authorized period without realizing it.
Frequently Asked Questions
Does a Credit Analyst role qualify as a specialty occupation for H-1B1 Singapore purposes?
Yes, Credit Analyst positions typically qualify because they require a bachelor's degree or higher in finance, economics, accounting, or a related field. The job duties must require that specific theoretical and practical application of knowledge. Generalist roles where any degree suffices won't meet the specialty occupation standard, so your offer letter and job description need to reflect the degree requirement explicitly.
How does H-1B1 Singapore differ from H-1B for Credit Analyst positions?
The H-1B1 Singapore visa is available only to Singaporean nationals, has no lottery, and is processed entirely at the U.S. consulate in Singapore rather than through USCIS. The annual cap of 5,400 visas has never been fully used, so timing isn't the constraint it is with H-1B. The trade-off is that H-1B1 doesn't carry dual intent, meaning you can't have a pending green card application while on H-1B1 status.
Which employers commonly sponsor H-1B1 Singapore visas for Credit Analyst roles?
Financial institutions, commercial banks, credit rating agencies, and asset managers are the most active sponsors for Credit Analyst H-1B1 visa roles. Migrate Mate shows verified LCA filing history by employer and role, so you can identify which firms have sponsored Singaporean nationals for credit-focused positions rather than relying on general reputation.
Can I switch Credit Analyst employers while on an H-1B1 Singapore visa?
Yes, but you can't use H-1B portability the way H-1B holders can. Your new employer must file a fresh LCA, get it certified by DOL, and you'll need to return to Singapore to apply for a new H-1B1 visa stamp with the new employer's documentation before re-entering to work. Plan for this timeline when negotiating your start date with a new firm.
What documents does a Credit Analyst need for the H-1B1 consulate interview in Singapore?
Bring your certified LCA, the signed job offer letter specifying your Credit Analyst duties and salary, your degree transcripts and diploma, and your DS-160 confirmation. If your degree is in a field adjacent to finance, such as mathematics or statistics, include documentation showing how your coursework relates to the credit analysis functions in your role.