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Market Risk
1 week ago
arket/ Credit Risk You have found the right team
As
Market/Credit Risk professional in our
Quantitative Reviews team, you will spend each day defining, refining and delivering set goals for our firm. The Quantitative Review group is responsible for development / implementation of proprietary models and analytical tools for investment research across multi asset class portfolios (consisting of mutual funds and hedge funds, proprietary investment strategies etc.)
Responsibilities:
- Assist with Tracking, Reporting and Analysis of Product Risk Ranking and Fund Governance Methodologies for various Investment Strategies
- Provide daytoday support to Research / Solutions teams, including data aggregation, reporting across a broad range of investment products
- Propose new and redesign existing process flows, models and user tools to achieve efficiencies and controls and communicate effectively with diverse teams across the globe to explain governance reviews and methodologies about risk analytics
- Collaborate with Risk, Technology, Supervisory Management teams and drive strategic enhancements of existing models and identify opportunities to leverage data, analytics and modelling techniques and assist with development of proprietary models and analytical tools by leveraging technologies
- Python, VBA, Matlab etc
- Take ownership of BAU activities, act as an SME in order to carry out planned activities and conduct monthly / quarterly / annual exercises in order to assure platform health, risk analytics are maintained within the limits. Provide commentaries and summaries during strategic engagements
- Assist senior members in driving new initiatives / projects in investment analytics space by leveraging coding platforms (predominantly Python) and proactively contribute in process optimization / automation
- Develop a deep understanding about quantitative techniques behind risk models, fund governance methodologies and come up with new ideas for further enhancements; better to develop an understanding on Machine Learning methodologies and implementation
Required qualifications, capabilities, and skills:
- 26 years of work experience in Market / Credit Risk Analytics or Data Analytics role with focus on Financial Markets investment and/or asset and wealth management experience preferred (Broad capital markets experience across asset classes and liquidity types)
- Excellent written and verbal communication skills, with the ability to liaise with internal and external partners
- Analytical experience, with a focus on statistical analysis, financial modelling or other investment related analysis, and strong proficiency in Microsoft office programs including Excel, PowerPoint and Word
- Experience navigating and interpreting model / investment documentation and understanding of fund strategies / structures
- Experience executing process automation projects or user tool automations
- Ability to parse complex tasks and juggle priorities in a highly dynamic professional environment
- Decent exposure to python Strong programming with ability to perform data analytics swiftly
Preferred qualifications, capabilities, and skills:
- CFA, FRM, CIPM or MBA preferred
- Strong programming skills. Preferably at least a few of the following
- Python, R, Matlab, Visual Basic, SQL and C#
- BI experience which could be leveraging MS Office Suite, Power BI, Tableau, QlikSense etc
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
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