Senior Data Scientist (AI/ML Researcher)

Nasdaq Vilnius Services, UAB

Skelbimas
Atlygis/Miestas
Apie įmonę

We are seeking an AI/ML Researcher to join the Quant Research team within Nasdaq's European Economic and Statistical Research (ESR).

In Quant Research, we provide research and analytical support on market microstructure, trading liquidity, and competitor behavior to multiple Nasdaq business units such as cash equities, equity derivatives, and listings with the aim of improving the trading environment, capital formation, and market structure within the Nordic & Baltic region. Select projects include supporting product development work on new market models and order types, helping Nasdaq's customers optimize trading/routing decisions, and designing incentive schemes to attract order flow, and measuring the efficacy of such initiatives.

What will you be doing?

Identify AI/ML-based opportunities, evaluate proposals, and use cases, and collaborate with cross-functional teams (product, market data, technology, etc.) to design, develop, and implement AI/ML solutions.
Take end-to-end ownership of research projects including defining the project scope, building data pipelines, training, testing, and validating machine and deep learning models, visualizing, and presenting output, as well as working with relevant technology teams to industrialize the models.
Contribute to improvements in the research data environment and to the development of core analytical capabilities and model libraries.
Create clear, concise, and organized communication materials (e.g., reports, presentations, procedures, and technical documentation) for consumption by audiences with different levels of subject-matter expertise.
Act as the subject-matter expert on all things AI/ML, establish and manage relationships with key customers.
Independently work with and supervise students and interns on specific projects.
Stay updated on new developments within relevant AI/ML fields such as large language models.

We expect you to have:

Advanced degree in a quantitative field such as Mathematics, Statistics, Computer Science, Financial Engineering, or equivalent work experience.
Several years of work experience in employing econometric, machine learning and/or deep learning tools to develop artificial intelligence models for deployment in a production environment.
Strong programming skills in Python, R, or similar, working with specialized statistical tools and large data sets. Strong skills in SQL (MS, PostgreSQL, Redshift)
Experience applying sound scientific practices, formulating and testing hypotheses, backtesting, and verifying the accuracy, and predictive ability of models.
Experience in transforming prototype models into production-resilient application frameworks.
Experience in establishing data framework and data governance infrastructure for modeling.
Proficient English language skills.

It would be excellent if you have (the opportunity to learn):

Previous background in a similar role in the finance industry, preferably in a trading environment
Deep expertise in modern AI/ML models and their application to use cases in quantitative finance and related areas.
Experience with cloud services (AWS, Redshift)
Experience working in a governed development environment, having version control, doing code review, producing technical documentation, etc.

This role provides a great opportunity to work within a highly skilled team! To succeed in this role, you need to be highly analytical, meticulous, and thorough while handling large amounts of data. We offer you access to detailed datasets that provide a microscopic view into the functioning of financial markets.

More details about our compensation package and benefits:

Monthly base salary starting from €3500 to €4500 gross based on experience. We are open to discussing a different salary based on your skills and competencies.
Annual monetary bonus
Vesting Nasdaq Restricted Stock Units (RSU) for all employees
Employee Stock Purchase Program Nasdaq stocks with a discount
III pillar pension plan with additional contribution from Nasdaq
Flexible health Insurance program
Additional paid leave days after 2 years of working at Nasdaq.
Flex day program (6 days a year)
Internal mentorship program get a mentor or become one.
Opportunities to grow horizontally or vertically in the organization.
Wide selection of online learning resources, e.g. Udemy, O Reilly

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge the status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported, and empowered.

This is a full-time permanent position located in Vilnius. The company allows the flexibility to work half a week on-site and remotely (Hybrid model). As the selection and interview process is ongoing, please submit your application in English as soon as possible.

A valid work permit for the EU is required.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Mėnesinis bruto atlyginimasBruto/mėn. € 3500 - 4500

Vietovė

Lietuva

Laikas

Visa darbo diena

Kalbos

Anglų

Kontaktinis asmuo
Aistė Mitkevičiūtė

Over the past decade, Nasdaq has transformed its business from a U.S. based equities exchange to a diversified global FinTech company.

At Nasdaq, we're relentlessly reimagining the markets of today. Not by chasing the possibilities of tomorrow, but by creating them.

In 1971, the microprocessor was born. Nasdaq wasted no time capitalizing on the new technology by bringing all-electronic trading to the market. Later in the decade, this provided the likes of Apple and Microsoft with the means to raise capital that was previously unavailable to them.

Sixteen years later on the other side of the Atlantic, OMX became the worlds first publicly traded and listed exchange company. In 2007, Nasdaq merged with OMX with a vision to be a single company with a single mission: Deliver the kind of resources that would solve the logistics of the global capital markets.

That vision has served us well. So well, in fact, that Nasdaq transformed itself from a U.S.-based equities exchange to a diversified technology provider for thousands of global firms. Today, were the leading technology and information services provider to the capital markets. And our Global Trading and Market Services business have become a significant part of our client offerings.

All this can be traced to Nasdaqs focus on synchronizing and optimizing market movement an essential principle in the growth of business economies. No one else provides customers with such a high level of infrastructure, tools and strategic insight. Customers have taken advantage of the fact that were the single largest liquidity pool for U.S. equities (in volume traded). Were also acclaimed for our top-rated data offerings. And, of course, for the Nasdaq 100 home to many of the worlds most heralded securities.

Įmonės tinklalapis: http://business.nasdaq.com