Avp Equities Quantitative Analyst Jobs

✅ Systematic Equities experience is preferable.

Talented Junior Quantitative Researcher in New York Wanted! 📈

The successful candidate will have...

✅Advanced degree in a quantitative discipline from a high ranking University.

✅ Up-to-date and deep understanding of financial markets.

✅Ability to work in a fast-paced, professional environment.

Proven experience 5+ years) in quantitative portfolio management - specific to equities.

Familiarity with risk management techniques, portfolio optimization, and factor-based investing.

Master's or Ph.D. in Finance, Mathematics, Statistics, Engineering, or a related quantitative field.

Strong programming skills in languages such as Python, R, MATLAB, or similar, for data analysis, model development, and implementation.

Excellent analytical and problem-solving skills, with attention to detail and accuracy.

Effective communication skills, both written and verbal, to convey complex concepts to diverse audiences.

Evaluate third party solutions by multiple vendors for adoption based on business and technical requirements

Business Analyst / Project Manager, AVP

Barclays Services Corp. seeks Business Analyst / Project Manager, AVP in New York, NY (multiple positions available):

Develop and drive to project plans for multiple initiatives - both process and technology-related - in parallel

Ensure that information relevant to the team is communicated promptly, thoroughly and via the most appropriate channel

What will you be doing?

7+ years of experience in the Capital Markets domain, with an Asset Management or Investment Banking organization, is strongly preferred.

Gather business requirements by effectively coordinating activities between business users, developers and managers.

Manage projects on a monthly software release cycle with minimal supervision.

Meet with client senior managers, present business solutions, set up/optimize business processes.

Strong critical thinking and problem solving skills.

Strong verbal and written communication skills, and the ability to coordinate with team members and stakeholders in multiple locations.

Commercial experience in Exotic Equities

Experience working in a front office environment.

3+ commercial years in Java or C++

Financial modeling (probability and stochastic calculus, Monte Carlo, numerical methods)

A proponent of agile methods: continuous integration, code review, unit testing, refactoring, and related approaches.

Proficient working on both Linux and Windows platforms.

Prior experience working in Capital Markets with Asset Management / Investment Banking organization knowledge preferred

5+ years of experience as IT Business analyst

Experience with all phases of the SDLC

Advanced knowledge of SQL: Sybase preferred

Gathering business requirements and writing functional specification documents

Experience with multiple testing approaches: functional, regression, integration and user testing and testing automation tools

Own the resolution of issues – manage multiple program sub-streams and aid in developing technology solutions based off analysis,

Build presentation skills that cater to the audience using multiple mediums (verbal, PowerPoint, Excel, etc.),

2 plus years of relevant work experience

Advanced knowledge of Microsoft Excel and working knowledge of Word and PowerPoint

Experience with data analysis tools such as SQL, Python, Tableau, etc.

4 year degree - Business, Finance, Data Science or Analytics, Statistics, Engineering, or other similar degrees

More than five years of experience in financial services (Risk Management, Financial Planning, Marketing and/or Finance)

Sound knowledge of Basel IV, applicable laws and regulations of Risk Weighted Assets and Capital Management

Developing and implementing data quality reviews, as well as month-over-month RWA movement dashboards with commentary to advise senior management

Documenting and maintaining controls and governance for spot and forecast and escalate issues to management

Proficient with analytical tools (Excel, SAS, SQL, Python) to manage data, conduct analysis, and present results

Experience of managing AIRB and standardized RWA frameworks and processes for Retail or Wholesale portfolios

Good communication and project management skills

Proficiency in Python programming, database management (SQL, NoSQL) and experience architecting applications within AWS

Preferred qualifications, capabilities and skills

Lead the management of production processes and daily communication with technology team to ensure production pipeline is functioning as expected

Onboard new data sets and conduct exploratory analysis and manage existing data sets used in research

Automate generation of reports for portfolio managers

Work closely with researchers and portfolio managers to solve mathematical, empirical, and coding problems

Postgraduate degree in applied mathematics, quantitative finance, physics, computer science, or other technical field

2-5 years of industry experience developing quantitative equities trading strategies

Excellent mathematical, modeling and problem solving skills

Strong programming skills in languages such as Python, Matlab or R

Experience with databases and unconventional data

Provide supporting analysis for model results.

Build and document predictive models in accordance with Barclays standards, policies and procedures.

Implement models in Barclays Model Execution Framework (MEF) Python based production environments.

Support model validation and model issue remediation.

Make improvement and updates to the model development code.

Shepherd models through the internal validation process with the Internal Validation Unit (IVU).

Communicate trading ideas and strategies to other team members and senior management

Manage risk exposure and ensure compliance with relevant regulations and internal policies

Strong knowledge of futures markets and related products, including algorithmic trading, statistical arbitrage, and market microstructure

Excellent analytical and quantitative skills, with a strong understanding of advanced mathematical concepts and statistical analysis

Extensive programming skills in languages such as C++, Python, or Java

Strong communication and interpersonal skills, with the ability to work collaboratively as part of a team

Communicate trading ideas and strategies to other team members and senior management

Manage risk exposure and ensure compliance with relevant regulations and internal policies

Strong knowledge of futures markets and related products, including algorithmic trading, statistical arbitrage, and market microstructure

Excellent analytical and quantitative skills, with a strong understanding of advanced mathematical concepts and statistical analysis

Extensive programming skills in languages such as C++, Python, or Java

Strong communication and interpersonal skills, with the ability to work collaboratively as part of a team

7+ years of experience in the Capital Markets domain, with an Asset Management or Investment Banking organization, is strongly preferred.

Gather business requirements by effectively coordinating activities between business users, developers and managers.

Manage projects on a monthly software release cycle with minimal supervision.

Meet with client senior managers, present business solutions, set up/optimize business processes.

Strong critical thinking and problem solving skills.

Strong verbal and written communication skills, and the ability to coordinate with team members and stakeholders in multiple locations.

Demonstrated project management and organizational skills and capability to handle multiple projects at one time

Supporting the build, testing and release management of the model libraries

Solid mathematical finance and statistical analysis skills

Knowledge/experience with Machine Learning Tools and Frameworks (scikit-learn, Teano, Keras, etc) is a plus

Consistently demonstrates clear and concise written and verbal communication skills

Bachelor’s/University degree or equivalent experience

Strong project, management and organizational skills.

Strong knowledge of managing and analyzing large sets of data

Knowledge of statistics including machine learning and deep learning algorithm applied to extreme values

Strong analytical skills required to understand quantitative models, and to translate that understanding into sustainable library design and code development.

Strong writing and presentation skills.

Proficient programming skills in python (OO, and main libraries eg Numpy, Seaborn, matplotlib, tensorflow, scipy, statsmodel etc)

Brand New Opportunity to work alongside one of NYC's most successful PM's!

✅ Minimum 4 years as a quantitative researcher specializing in med frequency equities

✅ Advanced degree in STEM discipline from a leading University

✅ Strong systematic background, proficiency in Python is preferred

✅ Partner with PM on signal blending, portfolio optimization, and portfolio construction

✅ Build market impact models and tune trading parameters

Manage risk effectively to optimize trading performance.

Strong experience in quantitative trading with a focus on Vol.

Excellent analytical and problem-solving skills.

Strong communication and leadership skills.

Design, operate, and improve high-performance algorithmic trading strategies.

Collaborate with the best academic minds in research and engineering to continually improve existing strategies.

Python/C++ knowledge => Python or C++ knowledge

Solid analytical and numerical skills

Familiarity and practical experience with techniques such as machine learning, data mining

Experience with cross-platform development (Windows/Linux)

Knowledge and understanding of equity derivatives modelling or delta one products

Skills that will help you in the role: