Total 6 job vacancies by Accel Team Pte. Ltd.

About Us: We are a dynamic and innovative financial services company focused on revolutionizing the way small and medium-sized businesses access capital. With a commitment to leveraging AI technology and data-driven insights, we empower businesses to thrive and grow through tailored financing solutions. As part of our expansion into the private credit market, we are seeking talented individuals to join our team as Private Credit Relationship Managers.

Position Overview: As a Private Credit Relationship Manager, you will play a pivotal role in driving our growth strategy in the private credit market segment. Leveraging your expertise in relationship management and credit analysis, you will be responsible for cultivating and managing relationships with small and medium-sized businesses seeking private debt financing. Your ability to leverage pre-existing relationships and investors will be key to your success in this role. IMPORTANT: indicate qualified SMEs qualified SMEs with private credit needs, segmented by country and the respective amount of financing required.

Responsibilities:

• Develop and maintain relationships with SMB clients seeking private debt financing, leveraging pre-existing relationships and investors to identify and engage potential clients.
• Originate, structure, and underwrite private credit transactions, conducting thorough credit analysis and risk assessment to evaluate creditworthiness and mitigate risk.
• Collaborate with internal teams, including credit analysts, underwriters, and legal/compliance professionals, to ensure timely and efficient execution of private credit transactions.
• Utilize your network of investors to facilitate funding for private credit transactions, coordinating investor due diligence and structuring investment opportunities.
• Monitor and manage an existing portfolio of private credit investments, proactively identifying and addressing credit issues, and optimizing portfolio performance.
• Stay informed of market trends, regulatory developments, and competitive landscape in the private credit market, contributing insights to inform strategic decision-making.

Qualifications:

• Bachelor's degree in finance, business administration, or a related field; advanced degree or professional certifications (e.g., CFA, CAIA) preferred.
• Minimum of 5 years of experience in private credit, direct lending, or related fields, with a proven track record in relationship management and credit analysis.
• Strong understanding of credit risk assessment methodologies, financial statement analysis, and underwriting principles, particularly in the context of SMB lending.
• Excellent communication and interpersonal skills, with the ability to build rapport and establish trust with clients, investors, and internal stakeholders.
• Demonstrated ability to leverage pre-existing relationships and investors to drive business development and originate private credit transactions.
• Proficiency in financial modeling and analysis, with advanced Excel skills; familiarity with lending platforms and CRM systems preferred.
• Commitment to upholding ethical standards and compliance with regulatory requirements governing private credit lending.

Join Us:If you are passionate about driving positive impact through innovative financing solutions and are excited about the opportunity to shape the future of SMB lending, we invite you to join our team. As a Private Credit Relationship Manager, you will have the opportunity to make a meaningful contribution to our mission and play a key role in our success. We offer a competitive compensation package, including base salary, performance-based incentives, and comprehensive benefits. Apply now to take the next step in your career journey with us.

Job Overview: As the CFO of the Fintech, a thriving Series-D tech startup, you will join our executive leadership team and play a pivotal role in shaping and executing our financial strategy. We are seeking a dynamic CFO currently serving in a CFO capacity at a listed company, bringing a wealth of experience in strategic financial management and proven success in navigating the complexities of a public company environment.

Compensation:

• Competitive salary and performance-based bonuses.
• Stock options with a total value exceeding 2 million, vesting over a 3-year period.

Key Responsibilities:

1. Financial Leadership:Provide strategic financial leadership and guidance to the executive team and board of directors.
   Drive financial planning, budgeting, and forecasting processes, ensuring alignment with overall business objectives.
   
2. Mergers and Acquisitions (M&A):Lead the financial aspects of potential mergers and acquisitions, including due diligence, valuation, negotiation, and integration planning.
   Collaborate with cross-functional teams to evaluate and execute strategic acquisition opportunities in line with our growth strategy.
   
3. Investor Relations:Manage relationships with investors, analysts, and financial stakeholders.
   Communicate the company's financial performance, strategy, and objectives to the investment community.
   
4. Financial Reporting and Compliance:Oversee accurate and timely financial reporting in compliance with relevant accounting standards and regulatory requirements.
   Ensure transparency and adherence to all financial and legal obligations.
   
5. Capital Structure and Financing:Optimize the company's capital structure, exploring financing options and managing relationships with financial institutions.
   Assess and execute financing strategies to support our growth initiatives.
   
6. Risk Management:Implement effective risk management strategies, identifying and mitigating financial risks associated with business operations.
   Stay abreast of market trends and industry best practices to guide risk management decisions.
   
7. Team Leadership:Build and lead a high-performing finance team, fostering a culture of accountability, innovation, and collaboration.
   Provide mentorship and professional development opportunities for the finance team.
   

Qualifications and Requirements:

• Proven experience as a CFO in a publicly listed company is a must.
• Extensive experience in leading successful mergers and acquisitions.
• Strong financial acumen and a track record of strategic financial planning and analysis.
• Excellent knowledge of financial management, accounting principles, and regulatory compliance.
• Effective communication and relationship-building abilities with investors and stakeholders.
• Experience in the tech industry is highly desirable.

Education:

• Bachelor's degree in Finance, Accounting, or a related field. MBA or CPA is highly desirable.

Benefits:

• Competitive salary and performance-based bonuses.
• Stock options or equity participation.
• Comprehensive health and wellness benefits.
• Professional development opportunities.
• Collaborative and innovative work environment.

Job Title: LLM Developer Trainer

Job Description:

We are seeking an experienced and dynamic LLM Developer Trainer to join our team. The ideal candidate should have a strong background in Large Language Models (LLMs), natural language processing (NLP), and cloud-native full-stack application development. The primary responsibility is to design and deliver comprehensive training programs for LLM developers, ensuring they acquire the skills needed to optimize, fine-tune, and integrate LLMs effectively into various applications.

Planned LLM Developer Training curriculum (10 weeks):

This training program spans ten weeks, focusing on various aspects of Large Language Model (LLM) development. In the initial weeks, participants receive an introduction and overview of LLMs, including courses on AI fundamentals by Andrew Ng and deep learning with PyTorch. Subsequent weeks delve into system design and integration with courses on Google Cloud Platform and full-stack web development. Data management and adaptation techniques are covered in weeks five and six, utilizing courses on data science and machine learning. The training addresses prompt formulation and collaboration in weeks seven and eight, featuring courses on natural language processing and data science by esteemed institutions. The final weeks concentrate on performance evaluation, including a course on machine learning evaluation using Google Cloud Platform. Participants are encouraged to verify course content and availability as platforms may update their offerings.

Responsibilities:

1. Curriculum Development: Design, develop, and update training modules for LLM developers, covering key areas such as optimization, fine-tuning, system design, data management, adaptation techniques, prompt formulation, and collaboration.
   
2. Training Delivery:Conduct engaging and informative training sessions, workshops, and hands-on exercises for LLM developers.
   Adapt training content based on the evolving landscape of LLMs and industry best practices.
   
3. Practical Application:Provide real-world examples and case studies to reinforce theoretical concepts.
   Guide participants through practical exercises, ensuring they gain hands-on experience in LLM development and integration.
   
4. Feedback and Evaluation:Implement effective assessment methods to evaluate participants' understanding and skill acquisition.
   Collect and analyze feedback to continuously improve training programs.
   
5. Stay Updated:Stay abreast of the latest developments in LLMs, NLP, and related technologies.
   Continuously update training materials to reflect industry advancements.
   
6. Collaboration:Collaborate with subject matter experts, industry professionals, and cross-functional teams to enhance the training curriculum and address specific domain requirements.
   

Requirements:

• Proven experience as a trainer in the field of Large Language Models, Natural Language Processing, and cloud-native full-stack application development.
• Strong expertise in Python, Node, C#, Angular.JS, React.JS, and other relevant programming languages and frameworks.
• In-depth knowledge of LLMs, NLP, and conversational AI.
• Experience with cloud computing platforms, especially in the context of LLM integration.
• Excellent communication and presentation skills.
• Ability to adapt training content to meet the needs of diverse learners.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Certifications in relevant technologies and platforms would be a plus.

Job Title: Private Banker - China or Southeast Asia

Job Summary: As a Private Banker specializing in China or Southeast Asia, your primary responsibility will be to develop and manage a portfolio of high-net-worth clients, providing them with tailored financial solutions and personalized wealth management advice. You will work closely with clients to understand their financial goals, risk tolerance, and investment preferences in order to deliver exceptional service and achieve their objectives. Additionally, you will be responsible for building and maintaining strong relationships with clients, as well as collaborating with internal teams to ensure the smooth execution of client transactions and the delivery of comprehensive financial services.

Responsibilities:

1. Client Relationship Management:Build and maintain long-term relationships with high-net-worth individuals and families in China or Southeast Asia.
   Understand clients' financial goals, risk profiles, and investment preferences to provide customized wealth management solutions.
   Regularly review and assess clients' financial portfolios, making appropriate adjustments based on changing market conditions and client needs.
   Act as the primary point of contact for clients, addressing their inquiries, concerns, and requests promptly and professionally.
2. Business Development:Identify and pursue new business opportunities by actively networking and prospecting for potential clients.
   Leverage existing relationships and personal networks to expand the client base.
   Collaborate with marketing and product teams to develop strategies for targeting specific client segments and geographic markets.
   Participate in industry events and conferences to enhance visibility and promote the bank's services.
3. Portfolio Management and Investment Advisory:Design and implement customized investment strategies based on clients' financial objectives and risk profiles.
   Conduct in-depth research and analysis of investment opportunities, staying updated on market trends and regulatory changes.
   Monitor portfolio performance, making necessary adjustments to ensure alignment with clients' goals and risk tolerances.
   Provide comprehensive investment advice and guidance to clients, explaining complex financial concepts in a clear and concise manner.
4. Collaboration and Compliance:Collaborate with internal teams, such as investment advisors, legal, and compliance, to ensure seamless execution of client transactions and compliance with regulatory requirements.
   Maintain accurate and up-to-date client records, transaction documentation, and compliance-related information.
   Stay informed about relevant laws, regulations, and industry best practices pertaining to private banking services.

Qualifications:

• Bachelor's degree in finance, economics, business, or a related field (a master's degree is a plus).
• Extensive experience (typically 7+ years) in private banking or wealth management, with a focus on China or Southeast Asia.
• Strong track record of successfully managing and growing a portfolio of high-net-worth clients.
• Excellent knowledge of investment products, financial markets, and wealth management strategies.
• Proficiency in Mandarin Chinese or other relevant local languages is highly preferred.
• Well-developed interpersonal and communication skills, with the ability to build rapport and trust with clients.
• Demonstrated business development skills and ability to generate new business leads.
• Sound understanding of regulatory and compliance frameworks within the private banking industry.
• Professional certifications such as CFA (Chartered Financial Analyst) or CFP (Certified Financial Planner) are advantageous.
• Strong analytical and problem-solving skills.
• Ability to work independently and thrive in a fast-paced, target-driven environment.
• Willingness to travel as required to meet with clients and attend industry events.

As the Deal Origination Director specializing in the Global Investor Programme (GIP), you will play a strategic and leadership role in identifying, originating, and structuring deals for high-net-worth clients looking to establish a Singapore-based Single-Family Office (SFO) and meet the GIP's stringent financial requirements. This position is instrumental in driving the growth of our organization and ensuring the successful entry of clients into the Singaporean financial landscape.

Key Responsibilities:

1. Deal Origination Strategy:Develop and execute a comprehensive deal origination strategy to identify high-net-worth individuals and families interested in the GIP, particularly those from China. Leverage an existing network and establish new connections within the China UHNW and family office communities.
2. Client Engagement:Cultivate relationships with potential GIP applicants from China, acting as a trusted advisor throughout the deal origination process. Conduct in-depth consultations to understand clients' financial goals, investment preferences, and eligibility for the GIP.
3. Deal Structuring:Collaborate with clients, particularly those from China, to structure their investment portfolio in alignment with GIP requirements, ensuring compliance with all regulatory aspects. Develop customized investment strategies tailored to clients' objectives.
4. Financial Evaluation:Assess clients' financial capacity and suitability for the GIP, ensuring that their assets meet the program's AUM requirements. Conduct due diligence processes as necessary.
5. Application Facilitation:Guide clients, especially those from China, through the GIP application process, ensuring all required documents are accurate and complete. Liaise with government authorities and regulatory bodies on behalf of clients to facilitate approvals.
6. Team Leadership:Lead and mentor a team of deal originators, providing guidance, support, and training to maximize their effectiveness in sourcing high-quality GIP clients.
7. Reporting and Documentation:Maintain accurate records of all client interactions, applications, and deal origination progress. Prepare reports and updates for senior management and stakeholders.

Qualifications:

• Extensive experience in deal origination, sales, business development, or a related field, with a proven track record of success.
• In-depth knowledge of the Global Investor Programme, Singapore's financial landscape, and investment categories outlined in the GIP criteria.
• Strong understanding of financial compliance and due diligence processes.
• Excellent communication, negotiation, and interpersonal skills.
• Ability to build and maintain strong client relationships, particularly with China's UHNWs and family offices.
• Leadership experience, including managing and developing a team.

The role of a Lead Data Scientist specializing in Large Language Models (LLM) for financial applications involves a combination of technical expertise in machine learning, natural language processing (NLP), and domain knowledge in finance.

Job Title: Lead Data Scientist (Large Language Models)

Responsibilities:

1. Develop Large Language Models (LLM):Lead the development and implementation of cutting-edge Large Language Models for financial applications.
   Utilize state-of-the-art NLP techniques to process and analyze large volumes of financial data.
   
2. NLP Solutions for Risk Management:Collaborate with risk managers to design and implement NLP solutions that assist in identifying and assessing potential risks in financial datasets.
   Leverage LLMs to extract insights from unstructured data sources and enhance risk prediction models.
   
3. Portfolio Management:Work closely with portfolio managers to develop language-based algorithms that aid in portfolio construction, optimization, and decision-making.
   Implement sentiment analysis and other NLP techniques to analyze financial news, reports, and social media for impact on portfolios.
   
4. Algorithmic Trading Support:Collaborate with traders to build NLP-driven models that can identify trading opportunities and optimize algorithmic trading strategies.
   Implement real-time analysis of market news and social media to influence trading decisions.
   
5. Data Preprocessing and Feature Engineering:Lead the preprocessing of financial text data, including tokenization, stemming, and other NLP techniques.
   Develop innovative feature engineering strategies to enhance the performance of LLMs for financial applications.
   
6. Model Evaluation and Optimization:Design and implement rigorous evaluation metrics for assessing the performance of LLMs in financial tasks.
   Optimize model hyperparameters and architectures for improved accuracy and efficiency.
   
7. Cross-Functional Collaboration:Collaborate with cross-functional teams including data engineers, software developers, and domain experts to integrate LLM solutions into existing systems and workflows.
   Provide guidance and expertise to other team members.
   
8. Stay Abreast of Industry Trends:Keep abreast of the latest advancements in LLMs, NLP, and machine learning within the finance domain.
   Propose and implement new technologies and methodologies to enhance existing models.
   

Qualifications:

• Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Proven experience developing and implementing Large Language Models, with a focus on financial applications.
• Strong expertise in NLP techniques and frameworks.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., TensorFlow, PyTorch).
• Solid understanding of financial markets, risk management, and portfolio optimization.
• Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
• Experience leading and mentoring a team of data scientists.

Preferred Skills:

• Previous experience in algorithmic trading or quantitative finance.
• Familiarity with cloud computing platforms (e.g., AWS, Azure).
• Knowledge of distributed computing and big data technologies.
• Publications or contributions to the research community in the areas of NLP or machine learning.