Join 55ip at the forefront of finance and technology, revolutionizing wealth management. Our team in Boston and Mumbai has developed a tax-smart investment strategy engine, promoting significant growth through partnerships with industry leaders like BlackRock and J.P. Morgan. With over 110 financial advisor firms managing $28 billion in assets using our platform, we're making a real impact. We are a diverse group of entrepreneurs, product experts, and customer advocates, united by our unique hustle and innovative spirit. As a newly-branded subsidiary of J.P. Morgan, we're seeking talented team members to help us set new industry standards.

As a Portfolio Analyst within the Quant R&D team, you will work closely with quantitative researchers and developers to support the evolution of investment algorithms and refine research data, back-testing, simulation, and data visualization platforms. You will analyze trade suggestions, positioning, and risk metrics to ensure alignment with investment strategies, and you will be responsible for setting up, running, and monitoring historical and forward-looking simulations. You will also create reports using Excel, Tableau, and other tools, provide Quant L1 support, and investigate datasets for new or existing algorithms. Your role will involve collaboration with product management and technology teams, participation in governance practices, and documentation of operational procedures.

55ip’s Quant R&D team is looking for a professional to provide support to the R&D team testing and operational needs. The ideal candidate can understand market and portfolio data and investigate investment outcomes.  Ensure that portfolios are positioned in accordance with investment strategies and views, and organizational and infrastructure capabilities are in place to support the portfolio management process.  The candidate will be motivated, a problem solver, and an effective team player looking to make an impact. 

 

Job Responsibilities

Work with quantitative researchers and developers to support the evolution of its investment algorithms and the refinement of the research data, back-testing, simulation, and data visualization platforms.Analyze trade suggestions, positioning, risk metrics, etc. to ensure alignment with investment thesis and process, and recognize, evaluate, and reconcile any results that are inconsistent with strategy objectives.Setup, run and monitor historical & forward-looking simulations.Create reports using Excel, Tableau, and other tools.Provide Quant L1 support to execute requests & investigate questions/issues originating from trade operations and/or investment teamsInvestigate datasets for use in new or existing algorithms.Work closely with product management and technology teams.Participate in governance practices to monitor and refine investment methodologies.Take part in agile methodology & ritualsUse JIRA to manage & assignment work items and issues,  fully document operational procedures, processes, and workflows

Required qualifications, capabilities, and skills

Bachelor’s degree in accounting/finance/economicsInterest in pursuing CFA and/or FRMWorking knowledge in PowerPoint, Word and ExcelPassion for financial markets and the investment management process.Strong verbal and written communication skillsStrong attention to detail with the ability to conceptualize and learn complex financial data.Ability to work on multiple tasks and under pressure while handling large workloads and short timelines.Ability to work cooperatively and collaboratively with all levels of employees and management.Team Player with a strong work ethic and a diligent, responsible personality.Ability to work effectively in a highly collaborative, team-oriented environment.Excellent written and verbal communications skills.Knowledge of basic statistics, strong Excel skills and quantitative capabilities.Capable of investigating issues data using SQL.Ability to work with basic Python and statistics.Candidate should be collaborative and thrives on challenge in a fast-paced, dynamic environmentThe highest degree of integrity, motivation, and intellectual curiosity

 

Preferred qualifications, capabilities, and skills

Familiarity with tools such as BarraOne, Factset, Bloomberg is a plus.