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Senior Credit E-Trading QuantNew York, New YorkJob Description:US Algo Strat Job DescriptionThe Credit e-Trading strats group – part of the FICC Quantitative Strategies group – is seeking a quantitative strategist to join the team in New York. The team is responsible for the research, development and delivery of quantitative methods to inform and enhance thealgorithmic market making platform andtrading decisions of the Credit Flow desk. The role requires a combination of quantitative, business and technical expertise and as such requires close co-operation with our partners in credit trading and technology.Responsibilities
Bring forth bespoke new ideas into an algo trading system. Be able to identify new promising opportunities, methods, research or technologies and be able to turn those into testable code that can be used to validate, refine or reject the approach.
Must be willing and able to take new ideas into fully productionized and supported working software.
Use your deep understanding of the algo market making business and what it’s challenges and opportunities are. Analyze the algo to see how it fits in with other business and market activities, and how those interactions can be leveraged into new algo insights or capabilities.
Establish good rapport with traders to focus on relevant high value improvements and to ensure traders are engaged with the direction of new strat work.
Experience
Has worked with algo trading system (ideally market making ) for bonds, portfolio trades and ETFs.
Developing, testing and documenting algorithms to price and hedge corporate bonds;
Enhancing existing infrastructure and algorithms;
Developing and maintaining tools to inform hedging and trading decisions;
Liaising regularly with traders to understand their requirements;
Analysing potentially large data sets to understand and predict market and client behaviours.
Skills / Requirements:
Fluent in Python and Java. Daily hands on coding and be able to navigate and contribute to the existing code base
Should have a quantitative and/or engineering background
Academic background at undergraduate or Masters/PhD level in a quantitative subject (Physics, Engineering, Statistics, Mathematics, Computer Science or other analytical background);
Strong programming skills in Java, Python and q/kdb.
Experience of designing, building, and managing production systems and knowledge of underlying infrastructures beneficial;
Good problem solving skills and pragmatic approach;
Good interpersonal skills with the ability to present complex ideas clearly;
Previous experience of financial markets, credit electronic trading required.
Job Band:H4Shift:1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0Job Description:US Algo Strat Job DescriptionThe Credit e-Trading strats group – part of the FICC Quantitative Strategies group – is seeking a quantitative strategist to join the team in New York. The team is responsible for the research, development and delivery of quantitative methods to inform and enhance thealgorithmic market making platform andtrading decisions of the Credit Flow desk. The role requires a combination of quantitative, business and technical expertise and as such requires close co-operation with our partners in credit trading and technology.Responsibilities
Bring forth bespoke new ideas into an algo trading system. Be able to identify new promising opportunities, methods, research or technologies and be able to turn those into testable code that can be used to validate, refine or reject the approach.
Must be willing and able to take new ideas into fully productionized and supported working software.
Use your deep understanding of the algo market making business and what it’s challenges and opportunities are. Analyze the algo to see how it fits in with other business and market activities, and how those interactions can be leveraged into new algo insights or capabilities.
Establish good rapport with traders to focus on relevant high value improvements and to ensure traders are engaged with the direction of new strat work.
Experience
Has worked with algo trading system (ideally market making ) for bonds, portfolio trades and ETFs.
Developing, testing and documenting algorithms to price and hedge corporate bonds;
Enhancing existing infrastructure and algorithms;
Developing and maintaining tools to inform hedging and trading decisions;
Liaising regularly with traders to understand their requirements;
Analysing potentially large data sets to understand and predict market and client behaviours.
Skills / Requirements:
Fluent in Python and Java. Daily hands on coding and be able to navigate and contribute to the existing code base
Should have a quantitative and/or engineering background
Academic background at undergraduate or Masters/PhD level in a quantitative subject (Physics, Engineering, Statistics, Mathematics, Computer Science or other analytical background);
Strong programming skills in Java, Python and q/kdb.
Experience of designing, building, and managing production systems and knowledge of underlying infrastructures beneficial;
Good problem solving skills and pragmatic approach;
Good interpersonal skills with the ability to present complex ideas clearly;
Previous experience of financial markets, credit electronic trading required.
Shift:1st shift (United States of America)Hours Per Week:40Learn more about this roleFull timeJR-23010433Band: H4Manages People: NoTravel: Yes, 5% of the timeManager:Talent Acquisition Contact:Christina RodgersReferral Bonus:0New York City pay and benefits informationNew York City pay range:$300,000 - $300,000
annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible . We provide industry-leading benefits, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.To view the "EEO is the Law" poster, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) .To view the "EEO is the Law" Supplement, CLICK HERE (https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA508c.pdf) .Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy (“Policy”) establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.To view Bank of America’s Drug-free workplace and alcohol policy, CLICK HERE .
Vacancy expired!