Data Specialist

Required Skills:

Must Haves: Heavy data sets experience, Trade, Market Risks, Regulatory, SQL, Tableau, QlikSense, QlikView is required. Python & Spark is a plus along with working and setting APIs experience. "

Experience with market risk, regulatory rules and ideally in delivering regulatory initiatives. Knowledge of Basel and FRTB specifically is a plus.

5+ years' experience working with large data sets within capital markets

Strong programming skills in python, pyspark, experience using pandas are required

Experience and/or training in data science

Experience working with Tableau or Qliksense/Qlikview is desired

Proficient in SQL, NoSQL databases, and working with APIs

Roles & Responsibilities:

Design and Implementation: Support the design and implementation of the Basel III, End game, FRTB market risk capital rule requirements to classify activities as market risk capital covered or non-covered positions.

Utilize data science techniques combined with intuitive design, flexibility, and accuracy to develop business controls to monitor trading activity

Collaborate with the business, finance, market risk teams to identify and evaluate trading activities against regulatory requirements

Working with various datasets (Trade, Position, Market Risk, PnL, internal reference data)

Developing analytic dashboards to visualize and monitor control profiles

Working with API's and modern/legacy databases

Partner with Technology teams to develop sustainable solutions supporting the Program including enhanced controls and streamlining/automation initiatives.

Issue Management: Identify, prioritize and proactively manage dependencies, risks, exceptions and issues