Description
Wealth Management Risk functions as an in-business risk unit to provide risk assessment and risk management for investment options offered within Wealth Management. WM Portfolio Risk, within WM Risk, oversees investment risks arising from Wealth Management's various brokerage and advisory activities. Advisory includes asset management activities in Financial Advisor, Firm-affiliated, and Client discretionary programs. The Portfolio Risk team is a data-driven group that uses analytical methods to assess risks in client portfolios and to design supervision controls. The team is seeking a quantitative developer to contribute to model build, assisting in model validation, maintaining existing source code and ad hoc analyses. The responsibilities also include working with big data (e.g., sourcing raw data, transforming data as necessary, and applying statistical methods to draw sound conclusions).

Responsibilities
The candidate's primary responsibilities will include:
> Integration of new code into existing risk supervision framework
> Analyzing client portfolios to identify sources of elevated risk and/or underperformance.
> Building data pipelines to support risk management process.
> Reviewing high impact advisor businesses
> Maintaining model documents, performing ongoing model monitoring
> Cross-team collaboration with ad hoc analyses
> Enhance platform stability and troubleshoot production issues.
> Project oversight and/or management on complex Tech initiatives to ensure successful project completion.

Description
Wealth Management Risk functions as an in-business risk unit to provide risk assessment and risk management for investment options offered within Wealth Management. WM Portfolio Risk, within WM Risk, oversees investment risks arising from Wealth Management's various brokerage and advisory activities. Advisory includes asset management activities in Financial Advisor, Firm-affiliated, and Client discretionary programs. The Portfolio Risk team is a data-driven group that uses analytical methods to assess risks in client portfolios and to design supervision controls. The team is seeking a quantitative developer to contribute to model build, assisting in model validation, maintaining existing source code and ad hoc analyses. The responsibilities also include working with big data (e.g., sourcing raw data, transforming data as necessary, and applying statistical methods to draw sound conclusions).

Responsibilities
The candidate's primary responsibilities will include:
> Integration of new code into existing risk supervision framework
> Analyzing client portfolios to identify sources of elevated risk and/or underperformance.
> Building data pipelines to support risk management process.
> Reviewing high impact advisor businesses
> Maintaining model documents, performing ongoing model monitoring
> Cross-team collaboration with ad hoc analyses
> Enhance platform stability and troubleshoot production issues.
> Project oversight and/or management on complex Tech initiatives to ensure successful project completion.

Qualifications and Experience
> Strong knowledge of SQL and Python are job requirements.
> At least 6 years of industry experience, with at least 3 years of relevant work experience
> A quantitative degree e.g., Mathematics, Statistics, Computer Science, Finance
> Team player with a strong work ethic and high level of maturity
> At least a working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency.
> Excellent written and verbal communication skills, and comfortable interfacing with senior personnel on highly sensitive issues
> CFA or FRM or progress towards one of the two a plus
> Familiarity with Agile software development and software design patterns is a plus.

Qualifications and Experience
> Strong knowledge of SQL and Python are job requirements.
> At least 6 years of industry experience, with at least 3 years of relevant work experience
> A quantitative degree e.g., Mathematics, Statistics, Computer Science, Finance
> Team player with a strong work ethic and high level of maturity
> At least a working knowledge of financial risk management concepts, with a desire to quickly acquire deeper proficiency.
> Excellent written and verbal communication skills, and comfortable interfacing with senior personnel on highly sensitive issues
> CFA or FRM or progress towards one of the two a plus
> Familiarity with Agile software development and software design patterns is a plus.