QUALIFICATIONS:

The ideal candidate will work closely with business areas to build efficient and modular controls. Although predominantly a Python and SQL based role, they will also need to demonstrable the ability to work across technologies focusing on the best tool for the job.

• Solid grasp of Python, ideally in a financial environment;
• Ability to code in an object-oriented manner;
• Experience of unit and end-to-end testing of Python;
• Use of code repositories (such as Azure) and GIT;
• Knowledge of SQL;
• Experience in analysing large data sets;
• Intermediate Excel Skills;
• Ability to face off to business users to capture requirements;
• Self-starter, ability to adapt on the fly, and learn from other technology teams.

ABOUT THIS ROLE

Within Technology and Operations, BlackRock’s Regulatory Solutions team designs, implements and supports a significant proportion of BlackRock’s regulatory reporting obligations. Team members work in conjunction with business units throughout the firm, and externally, to create and operate solutions that:

• Meet regulatory reporting requirements;
• Are scalable across all of BlackRock’s business areas;
• Satisfy internal audit requirements;
• Have the appropriate controls in place to ensure reporting is complete and accurate.

RESPONSIBILITIES:

Within Regulatory Solutions, Software Engineers are members of a technology focussed team, tasked with using Python and SQL to implement automated controls for our major G20 regulations including EMIR, MIFIR and SFTR. We are expected to adhere to a full-development lifecycle as well as guiding fellow developers in the team. Alongside this, the role will include helping to formalize the build, release, and deployment process of Python applications.

The ideal candidate will work closely with business areas to build efficient and modular controls. Although predominantly a Python and SQL based role, they will also need to demonstrable the ability to work across technologies focusing on the best tool for the job.

• Solid grasp of Python, ideally in a financial environment;
• Ability to code in an object-oriented manner;
• Experience of unit and end-to-end testing of Python;
• Use of code repositories (such as Azure) and GIT;
• Knowledge of SQL;
• Experience in analysing large data sets;
• Intermediate Excel Skills;
• Ability to face off to business users to capture requirements;
• Self-starter, ability to adapt on the fly, and learn from other technology teams