Job
Description
Perform highly complex activities related to creation, implementation, and documentation. Use highly complex statistical theory to quantify, analyze and manage markets. Forecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives. Utilize structured securities and provide expertise on theory and mathematics behind the data. Manage market, credit, and operational risks to forecast losses and compute capital requirements. Participate in the discussion related to analytical strategies, modeling and forecasting methods. Identify structure to influence global assessments, inclusive of technical, audit and market perspectives. Collaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills. Think critically to identify and prevent risk in data, solutions, and procedures. Perform root-cause analysis using Java and python on data issues and drive implementation for remediation. Perform reconciliations to source (or system of record) and highlight anomalies. Perform various complex analytics activities related to solution design on data solutions. Ability to prototype, design or develop automated solutions to business problems. Ability to take initiative, identify inefficiencies and opportunities and implement change using python and Java. Ability to manage process improvement initiatives to optimize operational effectiveness and efficiencies. Provide analytical support for evaluating, implementing,monitoring, and executing data strategy and execution solutions. Work effectively in a team environment and across all organizational levels, where flexibility, collaboration, and adaptability and respect and partnering skills are important. Partnership with Technology teams to debug, enhance and improve the capabilities of the new strategic valuation, risk, and Market Data Platforms using Java and python. Integration of various data inputs to pricing and risk analytics libraries in collaboration with other quant teams. Consistently deliver high-quality software and documentation in an Agile SDLC Desired qualifications Use quantitative and technological techniques to solve complex business problems. Masters or above in quantitative disciplines like Computer Science/Finance Experience working in similar role dealing with Python/Java Strong analytical skills with ability to draw conclusions and translate findings from data. Possess strong Java Functional and Python programming skills with experience in working with analyzing and interpreting large datasets and data manipulation using Java Lambda expression, Java evaluators, Immutability, and Python NumPy, Pandas, SciPy and Scikit modules. Participate in complex software design & development activities within an Agile environment. Ability to develop and drive a project from inception to delivery. Experience developing Enterprise scale software platforms. Meet deliverables while leveraging solid understanding of policies, procedures, and compliance requirements. Show your hands-on coding experience of functional programming in git-hub. Quant or financial experience or the keen to learn them Preferred candidate profile 4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science. Perks and benefits
