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» Applied Statistician/ Data Analyst

Applied Statistician/ Data Analyst

Job Description:

Deep Valueis looking for a applied statistician/ Data Analyst to be part of our statistical research team that works on high frequency data and helps develop trading algorithms. A trading algorithm is a sophisticated synthesis of complex  statistics and good software to ensure optimal execution at the various US market centers (NYSE, Nasdaq etc.) Our trading strategies are heavily instrumented, with automation watching automation. If you are interested in analyzing ultra high frequency trading data to capture patterns; tuning statistically camouflaged trading algorithms that trade billions of dollars, then this may well be the role for you.
Essential Functions:

1. Understand, after some effort per paper, good portions literature in microstructure finance.
2. Handle a steady stream of well-specified projects interrogating the data involving time series analysis, stat inference with linear models, possibly basic econometric concepts as well.
3. Writing automated statistics based tests for trading strategies to understand their high speed actions in a fine grained way.

Desired Qualifications:

1. Masters degree in finance/applied statistics from a top university
2. Hands on Years of years experience
3. Candidates should typically have been in the top 10% of their peer group at their current and prior employers.
4. Prior experience with large numerical datasets
5. Eye for detail at every level
6. Must be hands-on, and be ok with small team sizes (6-10 people) and working in a non-hierarchical fashion and in an individual contributor role.
7. Good english speaking skills, and be able to communicate and understand complex ideas easily.

Work timings:

Once a week, you will be requested to arrive later to work and stay till an hour past when US stock markets close.  That translates to your day ending at 2:30 a.m. IST (when US Daylight Savings Time is in effect) or 3:30 a.m. IST.   On other days of the week, work hours are between 2 p.m. and 11:30 p.m. IST.

Plusses :
1. Knowledge of R Project.

Apply for this position

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