Lead Pyspark Developer

Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements.

Responsibilities

Develop software applications based on business requirements

Maintain software applications and make enhancements according to project specifications

Participate in requirement analysis, design, development, testing, and implementation activities

Propose new techniques and technologies for software development.

Perform unit testing and user acceptance testing to evaluate application functionality

Ensure to complete the assigned development tasks within the deadlines

Work in compliance with coding standards and best practices

Provide assistance to Junior Developers when needed.

Perform code reviews and recommend improvements.

Review business requirements and recommend changes to develop reliable applications.

Develop coding documentation and other technical specifications for assigned projects.

Act as primary contact for development queries and concerns.

Analyze and resolve development issues accurately.

Skills

Must have

10+ years of experience in data intensive Pyspark development

Must have experience in leading a Development Team

Proven experience as a Core Python developer

Good understanding of Gen AI

Experience developing Classes, OOPS, exception handling, parallel processing

Strong knowledge of DB connectivity, data loading , transformation, calculation

Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations

Lambda Functions, Decorators

Vector operations on Pandas dataframes /series

Application of applymap, apply, map functions

Concurrency and error handling data pipeline batch of size [1-10 gb]

Ability to understand business requirements and translate them into technical requirements

Ability to design architecture of data pipeline for concurrent data processing

Familiar with creating/designing RESTful services and APIs

Familiar with application unit tests

Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services

Debugging application

Nice to have

Knowledge of web backend technology

Django, Python, PostgreSQL.

Apache Airflow

Atlassian Jira

Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus

Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Other

Languages

English: C2 Proficient

Seniority

Lead