Über die RolleThis position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position.
FDM is seeking a
Data & Analytics Engineer located in
New York City to support a project in the
financial sector. Involvement in this project is anticipated to last initially
1-2 yearsbut may be extended.
This role will be
hybrid with requirements to be in office
3-4 days per week.
Das bringst du mitDescriptionWe're seeking someone to join our Analytics and Reporting Fleet as a Data & Analytics Engineer to be responsible for providing complex data analytics solutions for users across Fixed Income and Equities.
This role is responsible for providing specialist data analysis and expertise that drives decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machines learning and AI-based techniques.
What you'll do in the role:- Work with key stakeholders across different business areas such as Sales and Trading, Finance Controllers, Operations, Legal and Compliance to discuss requirements for new reporting or business intelligence applications.
- Work on BI analytics and visualization solutions using tools such as Business Objects, PowerBI and other BI solutions
- Work on key regulatory reporting initiatives (i.e. Volcker Metrics, Market Access Rule, urgent data inquiries)
- Work with Business Analysts to on-board/analyze new applications/flow into the different systems.
- You will investigate innovative solutions and design them, while collaborating with partner teams throughout the Technology division.
- Implement complex reports, data extracts to give the business transparency on any trade related activities.
- Direct business support and some production support, including data issue investigation and performance tuning.
QualificationsWhat you'll bring to the role:
- Very strong analytical skill and documentation skills
- Strong Database skills with SQL, such as DB2, Greenplum, Snowflake
- BI Analytics skills such as SAP Business Objects, Power BI or other similar report development technologies, in creating accurate and professional reports
- Strong data manipulation and data reconciliation skills using programing language, such as Python
- Solid communication skills & excellent interpersonal and organizational skills
- Ability to process information, translate into plans and present summaries to stakeholders
- Experienced understanding of business line and discipline
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