Address
Form of workJob Description
Title: Techno Functional Analyst||W2 role
Location: - Jersey City, NJ/ Charlotte, NC-Day-1 (Onsite-Hybrid 3 days office 2 days remote)
Client: finance domain
VISA: USC/GC/EAD GC/EAD H4
Interview: Glider/Phone/Video
Full JD :: (Must have: Basel, Capital Market and Strong SQL)
Required Skills
10+ years' experience with at least 3+ years' experience as a BA/FA
Delivery focused techno-functional role
Programming experience with Python or Java/.Net
Excellent analytical and problem solving skills
Deep understanding of Capital Markets with focus on Credit Risk, Market Risk or Capital calculations
Understanding of regulations within the Capital Markets space (Basel, CRR, CRD IV etc)
Attention to detail and self-starter, with an ability to identify risks and issues and suggest improvements.
Excellent communication, negotiation, networking and influencing skills
Ability to work across multiple business groups and domains
Ability to work in a fast paced environment and work under pressure
Collaborative, with an ability to share information, transfer knowledge and train new team members
Proven ability to balance business demands of different stakeholders and IT fulfilment in terms of standardization, reducing risk and increasing IT flexibility
Experience building high-performance, enterprise applications at scale
Desired Skills
Financial and regulatory reporting experience; specifically build a reporting solution that facilitates the creation, publication and distribution of reports both on a regular basis and ad-hoc.
Experience of having worked on a Greenfield project, ideally within a large financial institution or a financial product development company. He or she may be required to demonstrate this during the interview process.
Additionally, the candidate must have solid experience of change management and delivery frameworks such as SDLC, test driven development (TDD) and should have functional delivery of more than one large scale IT project.
Knowledge of Big Data Architectures and Cloud computing
Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus
Experience with data visualization tools like Tableau, Kibana, etc.
Knowledge of machine-learning techniques, classifiers and statistical methods
Exceptional intelligence and problem-solving skills
Excellent communication skills
BS/MS in Computer Science, Engineering, or any quantitative discipline
