Estate Planning Consultant - AVP
Job Responsibilities: Cultivate relationships with referral sources within designated territories of EPCs (Estate Planning Counselors). Collaborate with referral sources to identify and assess potential prospects for the Company's planning and life insurance products. Arrange client meetings in accordance with solicitation guidelines and client availability. Deliver presentations on the Company's planning concepts and life insurance products to prospects. Track, oversee, and follow up on prospective client engagements, including planning, meetings, and correspondence, ensuring accurate documentation in the system. Engage in relevant marketing activities as required. Utilize the Company's sales management systems and adhere to all solicitation and compliance standards.
Negotiable
Malaysia
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Partnerships Sales Development Manager
Job Responsibilities: Identify and engage potential partners across clubs, associations, communities, and corporate sectors in Singapore. Formulate and implement a comprehensive partnership strategy to expand sales channels effectively. Cultivate and manage strong relationships with key stakeholders and decision-makers in targeted organizations. Collaborate cross-functionally with teams in marketing, product development, and sales to craft compelling partnership proposals and presentations. Negotiate and formalize partnership agreements, ensuring terms are mutually advantageous. Monitor and assess partnership performance, delivering regular reports and insights to senior management. Keep abreast of industry trends, competitor activities, and market opportunities to optimize partnership strategies continuously. Represent the company at industry events, conferences, and meetings to enhance brand visibility and foster relationships with potential partners.
Negotiable
Singapore
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Senior/Junior Machine Learning Quant Researcher
Company Overview: A leading hedge fund based in New York City, specializing in quantitative investment strategies that combines rigorous quantitative research with advanced technology to capitalize on market opportunities across global financial markets. Job Description: They are seeking both Senior and Junior Machine Learning Quantitative Researchers to join their dynamic team. As a member of their research group, you will collaborate closely with portfolio managers, data scientists, and technologists to develop and implement cutting-edge machine learning models and quantitative trading strategies. Responsibilities: Research and Development: Conduct research to develop, refine, and implement machine learning models for alpha generation and risk management. Data Analysis: Analyze large datasets to identify patterns, correlations, and predictive signals relevant to financial markets. Model Implementation: Translate research prototypes into production-grade code that can be deployed in live trading environments. Collaboration: Work closely with portfolio managers to integrate quantitative research insights into investment strategies. Optimization: Continuously optimize and enhance existing models to improve performance and efficiency. Qualifications: For Senior Researchers: Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Proven track record of developing and deploying machine learning models in a financial or trading environment. Strong programming skills in languages such as Python, R, or C++. Deep understanding of financial markets and quantitative trading strategies. Leadership and mentorship experience is a plus. For Junior Researchers: Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Some experience or coursework in machine learning and data analysis. Proficiency in programming languages such as Python, R, or MATLAB. Interest in financial markets and quantitative finance. Strong analytical and problem-solving skills. Additional Skills: Experience with libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Excellent communication skills and ability to work effectively in a collaborative team environment. Benefits: Competitive compensation package including base salary and performance-based bonuses. Comprehensive benefits package (healthcare, dental, vision, retirement). Opportunity for professional growth and career advancement in a dynamic and intellectually stimulating environment.
US$200000 - US$450000 per year + Performance Based Bonus
New York
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Head of Font Office Support
Role: Oversee the Front Office Support function in Hong Kong and China, leading a team across both geographies. Support the markets business in the Hong Kong and China region, and provide additional support to the global team and key stakeholders. Review existing local and global markets processes, propose enhancements, and ensure alignment with regulatory changes. Adhere to controls and procedures and stay informed about regulatory updates and operational risks. Take ownership of issues and proactively identify solutions. Ensure that all services delivered comply with governance requirements, policies, processes, and legal/regulatory standards. Requirements: Extensive experience and knowledge of Financial Markets, a deep understanding of cross products, sales, and trading within FICC. Proficient in front-to-back processes, governance, compliance, and regulatory operationalization for a robust control environment. Demonstrated ability to exercise risk-focused, commercially astute and analytically sound judgement, even in ambiguous situations. Proven track record of setting and achieving goals, leading self and others through large-scale changes, and adeptly negotiating with stakeholders at all levels. Leadership style reflects maturity, resilience, and the ability to navigate ambiguity. Effective communication of a clear and compelling vision, coupled with leadership competencies, will empower you to manage change, exercise sound judgement, foster relationships (both internal and external), and develop others.
Negotiable
Hong Kong
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Institutional Equity Sales
Experience: 2 - 7 years' previous full-time working experience Start Date: ASAP Location: Paris, France Language requirements: Fluent French & English Our client is a leading independent, full-service growth investment bank for the European healthcare, technology, energy-transition, and consumer sectors. Clients benefit from our relentless commitment to their long-term success, unparalleled insights into these strategically important sectors and strong relationships with investors - from private equity and venture capital to institutional investors across the US, Europe, and Asia. With a team of more than 20 experts providing thought-leading research on more than 200 listed companies. BG IRIS works closely with the sales and trading team who are in charge of selling IRIS' research and executing investors' orders. Our clients sales professionals are based in Paris, London, and New York and the team service institutional clients across Europe, with an emphasis on France, UK, Benelux, Switzerland, and the US. They provide coverage to worldwide institutions from pension, mutual, hedge and private equity funds. Working closely with the IRIS analysts, they are able to bring insight, actionable ideas, and relevant market opportunities to clients. Our client is seeking a dynamic Sales professional who works well within a team, is entrepreneurial, and successful in maintaining - as well as building new - client relationships. Industries of focus in this role will be our key growth sectors; Technology (including Energy Transition & Cleantech), Healthcare (Biotech & Medtech) and Circular Economy. This role will involve the distribution of a broad range of products in both the private and public space i.e. ECM transactions (IPOs, Capital Raisings), Private Placements (Primary & Secondary), Private Debt & Hybrids (Convertibles), etc. The ideal candidate will have: Between 2 - 7 years' experience in sales / distribution role Demonstrated track record Existing network/client base of non-conventional investors i.e. single and multi-family offices, particularly in Continental Europe. Multi-strategy hedge funds would be a plus Willingness to work in an entrepreneurial environment with a proactive approach to opening client relationships Fluent French and English speaker.
Negotiable
Paris
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Quantitative Research (Global Equities)
We are working with a hedge fund in New York assisting with the build-out of a Mid-Frequency (intraday to weekly) global equities desk with a strong focus on statistical arbitrage. The firm is looking for highly motivated individuals that have hands-on global equity alpha research experience. Responsibilities: Alpha generation for Global Equities and Stat-Arb based signals Researching, developing, and participating in full life cycle trading process including alpha modeling Research, Back-test, and implement trading models / signals Hands on with Python or similar for Modeling Requirements 3-5 years experience on a mid-frequency systematic or quantitative trading desk 3-5 years conducting alpha research for global equities or stat-arb based strategies Masters or PhD in a quantitative field such as Physics, Applied Mathematics, Statistics or Computer Science (PhD preferred but not required) Technical experience with Python for ML, Deep Learning, modeling, or similar
US$175000 - US$300000 per year + + Bonus and Benefits
New York
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Head of Quantitative Research
A Crypto Asset Manager is looking to onboard an experienced Head of Quantitative Research to oversee their alpha generation efforts across Crypto trading. Trading time horizons vary across their trading teams. Responsibilities: Oversight and management of quantitative crypto strategy research Assist in use of proper data pipeline to incorporate into research systems Alpha generation Oversee the Quantitative Research Team Requirements: 10+ years of experience developing alpha and researching quant trading strategies Prior Quantitative Trading experience working on Alpha Generation for intraday strategies Familiarity with Cryptocurrency Hands on programming experience with Python, C++ or similar language Perks: A collaborative yet entrepreneurial environment that encourages constant innovation and growth through the development of elite trading technologies PnL split (%) or bonus based on strategy performance (Target $800,000 to $1,500,000+ TC per year) Fully remote work option available Diversity & Inclusion: A company commitment to equal opportunity. We do not condone discrimination on the premise of race, color, religion, sexual orientation, age, gender identity or expression.
US$200000 - US$500000 per year + on target 800k+
New York
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Equity Solutions Sales Trader
Responsible for executing cash equity trades in the HK/CHN and regional markets, as well as handling ETF PD execution and client management (working with ETF issuers and market makers). Solid experience in sales trading, ETF trading or sales, and institutional sales for market makers. Strong background in client relationship management, excellent interpersonal skills, and a sociable personality for effective client communication. Experience in ETF business and securities borrowing/lending (SBL) or swap business is also beneficial. Familiarity with Order Management System (OMS) platforms (e.g., Fidessa) is desirable. Holds SFC RA1 (Dealing in Securities) or RA2 (Dealing in Futures contracts) qualifications.
Negotiable
Hong Kong
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Quantitative Researcher
I am working with a tier 1 hedge fund in New York City assisting with the build-out of a systematic global macro desk. The main emphasis on the desk is mid frequency trading across futures and FX. Responsibilities: Working on ongoing alpha research projects in the futures and FX space Researching, developing, and participating in the full process of alpha modeling Be involved in data scouting, hypothesis generation, back-testing, and production modeling Will sit in the NYC office alongside 2-3 other researchers (Hybrid flexibility available) Requirements 3-5 years experience in the systematic trading space with a focus on mid frequency or intraday strategies Experience working with Bonds, FX, and Equity indexes (Spot/Futures) Masters or PhD in a quantitative field such as Physics, Applied Mathematics, Statistics or Computer Science Strong development experience in Python Highly motivated with experience in modeling large amounts of data
US$150000 - US$250000 per year + + Bonus and Benefits
New York
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