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Senior Associate, Data Management & Quantitative Analysis

Bank Of New York Mellon

New York, New York, USA

Full-time

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an i

Quantitative Engineering, Liquidity Risk, Associate, Dallas, TX

Goldman Sachs & Co.

Dallas, Texas, USA

Full-time

Job Description RISK ENGINEERING Risk Engineering ("RE"), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. LIQUIDITY RISK STRATS Liquidity and Prime Risk Strats use their engine

Vice President, Product Management, Data Management & Quantitative Analysis

BNY

Pittsburgh, Pennsylvania, USA

Full-time

At BNY, our culture empowers you to grow and succeed. As a leading global financial services company at the center of the world's financial system we touch nearly 20% of the world's investible assets. Every day around the globe, our 50,000+ employees bring the power of their perspective to the table to create solutions with our clients that benefit businesses, communities, and people everywhere. We continue to be a leader in the industry, awarded as a top home for innovators and for creating an

Engineering - Dallas- Associate, Quantitative Engineering - 033664

Goldman Sachs & Co.

Dallas, Texas, USA

Full-time

Job Description Job Duties: Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Dallas, Texas. Multiple positions available. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predic

Platform Solutions-Wilmington, DE-Associate, Quantitative Engineering-9351990

Goldman Sachs & Co.

Wilmington, Delaware, USA

Full-time

Job Description Job Duties: Associate, Quantitative Engineering with Goldman Sachs Bank USA in Wilmington, Delaware. Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Analyze large data sets (structured and unstructured) to build predictive models of business-

Data Science Lead, Quant Modeling

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A84153A Apply to this job Share this listing: Responsibilities About Team The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other d

Quantitative Engineering, Liquidity Risk, Vice President, Dallas, TX

Goldman Sachs & Co.

Dallas, Texas, USA

Full-time

Job Description RISK ENGINEERING Risk Engineering ("RE"), which is part of the Risk Division, is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide robust metrics, data-driven insights, and effective technologies for risk management. RE is staffed globally with offices including Dallas, New Jersey, New York, Salt Lake City, London, Warsaw, Bengaluru, Singapore, and Tokyo. LIQUIDITY RISK STRATS Liquidity and Prime Risk Strats use their engine

Quantitative Risk Associate Director

DTCC

Jersey City, New Jersey, USA

Full-time

Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world

Senior Quant, Artificial Intelligence/Machine Learning

U.S. Bank

Minneapolis, Minnesota, USA

Full-time

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and dis

Senior Data Scientist, Quant Modeling

TikTok

San Jose, California, USA

Full-time

Location : San Jose Employment Type : Regular Job Code : A185061 Apply to this job Share this listing: Responsibilities About Team The Product Data Analytics Team analyzes a combination of product usage and product performance data to derive meaningful insights that would serve as a guide to better product and decision making for our business leaders. As a member of the data science team, you will work with diverse and highly collaborative teams of product managers, engineers, and other d

Data/Information Mgt Sr Lead (CCR, Model Dev, Quant) - SVP - New York (Hybrid)

Citi

Remote or New York, New York, USA

Full-time

The Team: Are you ready to join a team that is transforming Risk Data for Citi? If so, then this role will provide the opportunity to make a difference for Citi by implementing sound data governance over critical Risk data in partnership with the business and technology. A good foundation in Risk systems, data and reporting will help you be successful in this essential role. This role is responsible for leading activities that contribute to the definition of the Enterprise Data Governance Stra

Quantitative Crypto Analyst

Fidelity Investments

Chicago, Illinois, USA

Full-time

Job Description: The Role We are seeking a Quantitative Crypto Analyst to join the Fidelity Digital Asset Management business and report directly to the Head of Investments. This team of multi-disciplinary research analysts will be focused on developing frameworks for the evaluation of tokens, and the associated blockchain and protocols, that form the basis of the rapidly evolving blockchain economy. The Analyst will initially be a hybrid role focusing on both building our research coverage un

Quantitative Crypto Analyst

Fidelity Investments

Boston, Massachusetts, USA

Full-time

Job Description: The Role We are seeking a Quantitative Crypto Analyst to join the Fidelity Digital Asset Management business and report directly to the Head of Investments. This team of multi-disciplinary research analysts will be focused on developing frameworks for the evaluation of tokens, and the associated blockchain and protocols, that form the basis of the rapidly evolving blockchain economy. The Analyst will initially be a hybrid role focusing on both building our research coverage un

Quantitative Developer

Software Guidance & Assistance

Jersey City, New Jersey, USA

Contract

Software Guidance & Assistance, Inc., (SGA), is searching for a Quantitative Developer for a contract assignment with one of our premier financial services clients in Jersey City, NJ. Responsibilities : Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology. Assist the firm's MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team

Quantitative Developer

Sharp Decisions

Jersey City, New Jersey, USA

Full-time

Your Primary Responsibilities: Research and prototype risk model for newly issued ETFs. Extend the scope for the Hybrid VaR as an benchmark for existing VaR methodology. Assist the NSCC MTM passthrough effort. Facilitate model specification and communication with stakeholders such as Market Risk, and Risk Technology team. Qualifications: 5 years of experience in financial market risk management and quantitative modeling Masters degree in quantitative disciplines Proficient in SQL, any other high

Quantitative Developer

Stellent IT LLC

Jersey City, New Jersey, USA

Contract, Third Party

Hope you are doing well. This is Dheeraj from Stellent IT. We are hiring for the given job requirement. If you are interested in this role then please share below details: Updated Resume Current Location Visa Status LinkedIn Id Job Role: Quantitative Developer Location: Jersey City, NJ (Hybrid) Duration: Long term (Contract Only- will be extended upon performance evaluation) Interview Process: 2 rounds - 2nd round in person Primary Responsibilities: Research and prototype risk model for new

Senior Quantitative Developer

London Stock Exchange Group

New York, New York, USA

Full-time

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It's how we've contributed to supporting the financial stab

C++ Quant Developer

Avance Consulting

Jersey City, New Jersey, USA

Contract

Minimum 15+ years of IT experience with deep expertise in C++ development Good track record in designing and optimizing complex algorithms for trading, hedge fund, foreign exchange, credit, equities, and commodities systems Extensive experience in hedge fund, trading, and capital markets technology environments Analyze, process, and compute millions of trade data points daily Strong STEM background; Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related field Exp

Senior Engineer, Macro Analytics

Balyasny Asset Management

New York, New York, USA

Full-time

Role Overview We are in the process of completely redeveloping our macro trading and analytics system to deliver a state-of-the-art solution. This involves C++ components running on server, alongside a suite of applications operating on Windows desktops and within Excel. We are seeking for experienced Quantitative Developer who is adept at writing high-performance Monte Carlo simulation code, distributing data flows and calculations, and deploy cross-platform C++ components into containers runn

Quantitative Analyst / Developer

Dexian DISYS

Jersey City, New Jersey, USA

Full-time, Contract

Job Title: Quantitative Developer / Analyst Location: Jersey City, NJ (Hybrid: 3 days Onsite / 2 days REMOTE) Duration: 6+ Months (Extension Possible) Skills & Experience Needed: 5+ years of working experience and must have 3+ years of hands-on experience in quantitative models, research, with deep understanding in fixed income and/or market risk. Fixed income market and product knowledge and SQL experience are highly preferred. Fluent in at least one high level programming language (Python, C++