Sr. Risk Reporting & Analytics Analyst
- New York, NY, USA
- Permanent, Full time
- Garrison Associates, LLC
- 05 Sep 16
Risk Operations Analyst will be responsible for the day-to-day, routine production of critical risk reports. The Analyst will take great care to make sure the produced numbers are correct.
A Premier Fund of Fund in Manhattan is seeking a full time, permanent, Risk Reporting & Analytics Analyst:
The nature of being an asset allocator implies that Risk Management is primarily concerned with managing systemic portfolio risks (e.g., aggregate factor exposures; counterparty risk; liquidity risk), rather than micro risks of individual investments. However, the level of granularity and involvement increases for separately managed accounts and the Firm’s directed trades vs. LP-investments.
Specifically, the principal mandate of the risk management function is to:
Assist the CIO in making risk-return decisions on the basis of continuously improved transparency on the factors driving risk and return of the portfolio
Maintain and continue to evolve the Firm’s attribution system (the primary system keeping track of all active risk bets and their performance)
Develop an independent view on the risk profile of the portfolio, recognizing that the approach and degree of oversight will vary across fund-of-fund investments, separate account investments and the Firm’s directed trades
Develop, maintain and evolve a consistent methodological risk management blueprint across market, liquidity, counterparty and operational risk
Ensure adequate capitalization of and management of systematic risks within our separate account & direct trading platform
Provide risk reporting to the Firm’s board, trustees, and the investment committee The Risk Management group uses a variety of (primarily internally developed) models for analysis and we continue to evolve these models, both to improve analytics and to streamline the process and reduce manual work.
The Risk Operations Analyst will be responsible for the day-to-day, routine production of critical risk reports. The Analyst will take great care to make sure the produced numbers are correct. In addition to the routine production process, the successful candidate will also work to continuously improve the reporting process by working with data engineers and other team members to further automate the process, meticulously keep track of errors/issues and work to eliminate their root cause. In addition, the Analyst will proactively improve the reports to make them most useful to various users. Initially, the Risk Operations Analyst will take ownership of the risk capital adequacy workflow for the Firm’s separate account and direct trading platform (“dry powder process”). The individual will be responsible for daily analysis and reporting of investment and portfolio capital requirements as well as the determination of any capital excess or deficit. The candidate will operate the team’s recently developed Python-based application to perform this work. The Analyst is expected to conceptually understand the philosophy and logic behind the capitalization model, and ensure changes in capital requirements and excess capital are consistent with expectations given changes in allocations and markets. The Analyst will investigate any unexpected results and potential errors. The Analyst will also be responsible for carefully maintaining the schedule of planned allocations and redemptions for the portfolio, and ensure all relevant risk assumptions reflect the team’s most up to date thinking. The process currently runs once a week, but the goal is to build the infrastructure to operate this process daily. Finally, the successful candidate will make and propose improvements to the existing capital adequacy workflow.
Over time, the Analyst will take over other key risk reporting and production processes. These processes may include Board reporting, Investor reporting, and other decision-support material:
The candidate must be an exceptionally diligent and reliable individual with an eye for process improvement and attention to detail.
Beyond this, the ideal candidate will have:
A broader risk management background with exposure to different types of risk (market, credit, liquidity), ideally gained in a trading or investment environment
A proven track record in owning a complex risk reporting process
A quantitatively oriented education background (such as mathematics, physics, statistics, engineering, or computer science) and probably have demonstrated his interest in the science of Risk Management by obtaining an FRM, PRMIA or possibly CFA designation.
A strong performance track record (typical indicators: high GPAs in school; continuity and advancement with the same employer vs. a series of short term employments)
Programming skills in Python, Matlab or similar and possibly SQL or willingness to learn such skills are not required but