Equity Researcher Jobs

Prior experience in a similar role within a financial institution, hedge fund, proprietary trading firm, or asset management company is preferred.

Familiarity with risk management practices and portfolio optimization techniques is a plus.

Utilize advanced mathematical modeling, statistical analysis, and programming skills to develop and test innovative trading ideas.

Collaborate closely with portfolio managers, traders, and technology teams to implement and refine trading strategies.

Master's or Ph.D. in a quantitative discipline such as Finance, Mathematics, Statistics, Computer Science, or a related field.

Proficiency in programming languages such as Python, R, C++, or similar, with experience in algorithmic trading libraries and tools.

Assist in optimizing data management and storage.

Under the guidance of fund managers, participate in the research of equities High-frequency trading strategies;

Have experience in developing distributed systems;

Implement Reinforcement learning and deep learning methods, and make distributed deployment and improvement for the algorithm;

Optimize and improve the performance of the existing ML/RL framework;

Collaborate with the Infra team to optimize and implement online code;

3+ years of experience within quantitative research in the equity options or cash equities space

Passion for solving mathematical problems and the skills to make it happen

Enjoy mentoring others, sharing your knowledge and helping them to improve

Utilize large data sets to optimize parameterization for trading, either in system execution success or pricing volatility surface and term structure

Effective communicator and collaborator across various teams with a willingness to learn new techniques

BS, MS or PhD in STEM or a related field

$120+ billion USD under management

A team of world class quantitative finance researchers and portfolio managers

A Bachelors, Masters or Ph.D. in computer science with 2+ years of applied experience

Excellent knowledge of Python / Pandas, as well as Java or C/C++

Experience in distributed computing or the use of GPUs

A 30-year plus track record of performance and innovation

Manage client relationships, ensuring high levels of client satisfaction and retention.

Scientific educational background. PhD or MBA preferred not required.

7+ years of experience in Life Science consulting, with a focus on commercial strategy and business development

Excellent interpersonal and communication skills, with the ability to build and maintain strong relationships with clients and stakeholders.

Strong analytical and problem-solving skills, with the ability to think creatively and strategically.

Lead and build out the East Coast practise.

· Prior experience in a quantitative research or quantitative trading team

· Superior attention to detail and organizational skills

· 4+ years of experience in a quantitative role

Conducting quantitative research and deliver insights related to:

New equity factors and/or improving existing equity factors

Risk taking in equities markets

Project management, problem solving, and decision making skills

Manage all equity programs of the company and act as internal administrator of equity management tool

Please visit our careers page to review our full benefits offerings

Collaborate with Accounting, Employee Experience and Payroll to process transactions involving option & SAR exercises, RSU vesting and ESPP program

Perform reconciliation of records with Employee Experience and Payroll

Conduct employee educational sessions via video conferencing

Consulting Partner has, first and foremost, a broad knowledge of the many facets of business

In our endeavor towards end-to-end sustainable development, we strike a balance between people, the planet, and profits.

Sustainability and Carbon Advisory Consulting Partner helps our clients to optimize their operations and support their

Report findings and research work to the management and execute plans to analytically solve open-ended research questions.

Prior experience in Big Tech firms is a plus.

Strong familiarity with the AI, Technology and Biotechnology industries, gained through experience in equity research, investment banking or consulting.

Excellent financial modelling, numerical and analytical skills. Aptitude for creative quantitative work involving financial and economic data.

Conduct in-depth fundamental research on coverage companies and industries spanning the AI, Technology and Biotechnology industries to support investment decisions.

Analyze the financial status, and market opportunities of companies