Risk Analytic Library Quant Developer
Princeton, New Jersey, United States
Full Time USD 100K - 160K
State Street
State Street provides investment servicing, investment management, investment research and trading services to institutional investors worldwide.At State Street, we are dedicated to developing state-of-the-art financial technologies. Our team is seeking a visionary tech leader to innovate the design and implementation of a cutting-edge quantitative library that will revolutionize the way we analyze and process financial data. This is a unique opportunity to influence the fintech space, spearhead a dynamic team, and set new industry benchmarks. If you’re ready to unleash your technical powers and drive innovation, join us on this journey and lead the change in reshaping the future of quantitative risk analysis. The ideal candidate should have strong background in quantitative methodologies and analysis, as well as software development to lead the design and implementation of a new quantitative library from the ground up. In addition, the candidate should be a dynamic and innovative thinker with extensive experience in quantitative finance and software architecture. This role is pivotal in setting the foundation for State Street’s endeavors to strengthen the company’s risk control function.
Responsibilities:
Drive the design, development, and implementation of a robust and scalable quantitative library.
Participant in model and algorithm implementation using advanced numerical and computational techniques. Ensure that implemented models are computationally efficient, accurate, and maintainable.
Integrate, customize, and train well known model and algorithm in open-source libraries to solve financial market problems
Work with a team of data scientist, machine learning engineer, financial modeler, software engineer, and model validation/QA engineer
Support IT integration, QA/UAT and deployment of risk library, operationalizing and productizing resulting models and solutions
Participate in the analysis and interpretation of model results incorporate partner’s feedback as appropriate into the implementation.
Qualifications:
Master degree required (preferably in computer science, mathematical finance, and financial engineering)
5+ years of solid object-oriented or functional programming and design experience, with 3+ years in python.
Proven track record of architecting and building scalable model applications in a Linux environment.
Continuous integration & development environments and tools (GIT, Maven, Jenkins, etc.)
Familiarity with relevant Python libraries and tools for quantitative analysis (e.g., NumPy, pandas). And working knowledge of a compiled language like C/C++ as well as high-performance computing
Experience in numerical and quantitative methods, Monte Carol simulations and analyzing large and complex data sets.
Past experience in developing or implementing risk models such as market risk, counterparty risk, wholesale credit risk or experience in front office pricing models.
Experience in any of the following is highly desirable:
Background in mathematics including but not limited to statistics, probability theory, PDE, linear algebra, stochastic calculus, differential equations etc.
Communication skills. The ability to communicate at the right level with all parties involved, including management and business stakeholders
Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we’re making our mark on the financial services industry. For more than two centuries, we’ve been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You’ll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees’ diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
Salary Range:
$100,000 - $160,000 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Tags: Architecture Computer Science Credit risk Engineering Finance FinTech Git Jenkins Linear algebra Linux Machine Learning Mathematics Maven NumPy Open Source Pandas Probability theory Python Research Statistics
Perks/benefits: Career development Competitive pay Flex hours Health care
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