Job Description

We are looking for an experienced candidate to join our team in Mumbai. Market Risk ADTV Data team's mission is to help ensure valid Average Daily Traded Volume (ADTV) data is fed into our in-house Gross Market Concentration (GMC) risk and Strategic Stress liquidity add-on calculations. GMC is a limit framework used by the firm’s Credit Officers to approve trades and manage concentrated positions at the counterparty level versus the size of the traded market measured by ADTV. The team works closely with internal stakeholders to ensure any data quality issue is remediated in a timely manner for accurate risk computation. We are also responsible for onboarding new ADTV sources which would enhance accuracy in concentration risk calculation and reporting. 
Job Responsibility

Analyze and verify ADTV time series data used for concentration risk and liquidity add-on calculations across several asset classes; Identify spurious data like spikes and gaps, and liaise with stakeholders for remedial action; Interpret data, analyze results, and summarize complex data into understandable and actionable insights for decision-makers; Define data quality metrics and produce periodic KPI reports distributed to stakeholders, control functions and senior management; Onboard new ADTV sources to ensure accurate risk measurement; Participate in projects relating to control issues/enhancements for ADTV data quality, accuracy and completeness; Partner with Technology teams to provide requirements for various data sourcing and remediation projects, ensuring execution aligns with expectations; and Oversee periodic audit processes to ensure adherence to internal controls and compliance with regulatory bodies.

Overall, the candidate will need to work closely with teams in New York, London, and India, and will need to be proactive in improving the overall quality of market data time series and developing business solutions to provide insights for the firm’s risk management in Market Risk and Counterparty Credit Risk.

Required qualifications, capabilities, and skills

Bachelor’s or master’s degree in STEM, Finance or relevant fields; and Knowledge of market risk concepts and various financial products across asset classes; Experience with performing statistical analysis on large and unstructured datasets; Proficiency in Microsoft Excel, using advanced formulas, pivot tables, etc. and robust control mindset to identify gaps in data production and data control processes; Ability to think critically and solve problem independently in a deadline oriented environment; and Ability to multitask and work under pressure with keen attention to detail; Excellent verbal/written communication and presentation skills; and Proficiency in both technical and procedural documentation; Enthusiasm for knowledge sharing and ability to collaborate effectively

Preferred qualifications, capabilities, and skills

Excellent interpersonal skills with an ability to develop effective and credible relationships; Ability to understand business processes and their risk implications, analyze complex situations, reach appropriate conclusions, and make feasible recommendations; Experience with Python, in particular Pandas and Numpy, for data analysis; Qualifications like CFA/FRM are an added advantage.