SVP, Software Engineer (Hybrid)

CITI; Mississauga; On-site; CAD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a Senior Software Engineer to lead innovative projects in Risk Management. This role involves designing software frameworks and APIs, mentoring junior developers, and making key technical decisions. The ideal candidate will have extensive experience in software engineering, particularly in Python and C++, along with a strong understanding of algorithms and data structures. Join a dynamic team that values collaboration and innovation, and contribute to building cutting-edge risk management platforms that impact the financial landscape.

Qualifications

• 10+ years of experience in software engineering and design.
• 3+ years of experience managing a software team.

Responsibilities

• Design and implement software frameworks for model-driven computations.
• Lead a team of junior developers and manage talent development.

Skills

Python

C++

Software Engineering

Algorithm Development

Data Structures

Operating Systems

Education

Bachelor's in Computer Science

Master's in Computer Science

Job description

DART Solutions Engineering (DSE) is an end-to-end product engineering team developing model platforms for Risk. We use graph theory, compilers, parallel computing, and systems engineering techniques to build innovative Risk-as-a-Service (RaaS) platforms for Citi. Our systems are responsible for calculating risk on some of the largest portfolios in the bank.

Senior Software Engineer will be responsible for leading significant parts of projects and critical components and making key decisions on technical approaches and solutions with minimal supervision. They will report to the Head of Model Implementation and Platform Engineering and lead a team of junior developers, actively mentoring and developing talent. This role also includes engaging the stakeholders to understand technical capabilities and requirements.

Responsibilities:

• Designing and implement software framework for model driven computations

• Designing and building infrastructure APIs for grid computing, data storage and access

• Leading a team of junior developers, including talent sourcing and development initiatives.

• Heavily uses python and follow industry python development standard rigorously

• Use C++ and write low level and high performance components

• Design and writing test infrastructure for testing models

Qualifications:

• Bachelors or Masters in Computer Science/Computer Engineering or related field

• 10+years of experience in software engineering and design

• 3+ years of experience of managing a software team

• Experience with large-scale scientific computing, algorithm development, and complex software platforms

• Strong grasp of computing fundamentals: data structures, algorithms, OS, programming languages

• Fluency in Python and strong knowledge of a compiled language like C/C++/Java

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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