Trade Surveillance Data Support Specialist
As a Data Support Specialist reporting to Senior Manager - Client Support Services, you'll play a critical role in ensuring the integrity and quality of data flows that power Nasdaq's Trade Surveillance platform — a service relied upon by over 150 market participants across 65 markets globally.
You'll thrive in this position if you're analytical, detail-oriented, and collaborative, with a passion for solving complex data challenges in a fast-paced, high-impact environment.
Key Responsibilities
- Prioritize and manage reported trading data issues through end-to-end incident ownership, ensuring timely resolution and clear client communication.
- Investigate and resolve data flow issues by leveraging server environments and data management tools to identify root causes and implement fixes.
- Collaborate with global cross-functional teams to coordinate releases and deploy bug fixes that improve platform stability.
- Drive continual service improvement initiatives that reduce recurring data issues and elevate the client experience.
- Contribute to the analysis and optimization of existing data flows within the Trade Surveillance application to support scalability and reliability.
This position will be located in Vilnius and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
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.
Benefits & Rewards
We offer a competitive, well-rounded rewards package that supports you and your family - inside and outside work.
The base pay range for this role is 2500 - 2700EUR gross. Actual pay depends on your skills, experience, education, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable, as well as the following benefits:
- Competitive base salary
- Annual bonus
- Annual equity grant
- Employee Stock Purchase Plan offering discounted company shares
- Pension plan with Nasdaq contribution
- 6 additional days off per year
- Extra vacation time based on tenure
- Work from (almost) anywhere – up to 20 days/year
- Paid time off to volunteer
- Health insurance
- Free gym, yoga & pilates classes and discounted in-office massages
- 24/7 mental health support for you and your family
- Global mentoring program
- Unlimited access to e-learning platforms
- Hybrid work setup
- Modern and comfortable work environment with fresh fruit, snacks, and weekly Fika
For more information, visit Nasdaq Benefits & Rewards Career Page.
Required Qualifications
- Bachelor's degree in Computer Science, Data Engineering, Finance, or a related field — or equivalent practical experience.
- 3+ years of experience in a data analyst, data operations, or technical support role, preferably within financial services or a technology-driven environment.
- Hands-on experience working in Linux environments and with data extraction, transformation, and troubleshooting.
- Proven ability to investigate and resolve complex data issues independently in a fast-paced, globally distributed setting.
- Strong English communication skills, both written and verbal, with experience working across international teams.
Preferred Qualifications
- Familiarity with market data, trading data, or financial messaging protocols (e.g., FIX).
- Prior experience in trading, capital markets, or a regulated financial services environment.
- Experience collaborating with globally distributed teams across multiple time zones.
