*Hi ,*

*Please check and let me know*

*Kindly mail me at nik...@apetan.com <nik...@apetan.com>*

*Duration: 2 months with extensions*

*Interview: 1 step interview- face to face or Skype for out of town
candidates*

*Location: Chicago*

*Company: Trading organization*

*Must Have: ANY VISA STATUS, GUI, Trading Background*

Client is seeking a qualified candidate to assist in monetizing 2 "shovel
ready" projects. The first project is a portfolio replication program,
designed for self-service retail brokerage firms as well as smaller
institutional clients. The deliverable for the first program will be a
Minimally Viable Product that will be used to show case the concept to
potential (future) money investors. The MVP will need to perform relatively
simple data handling, regression analysis, and reporting functions (for
which existing code is available for generating ideas). Additionally, a
rudimentary Graphical User Interface will need to be married to the program
to, again, aid in attracting more capital and showcase the potential
functionality. This program will only need to operate in a historical
setting, although the ability to perform tasks on real-time data would be
seen as a plus.

 Once the first project is completed, the second project will entail the
creation of an equity Pairs Trading Strategy. This project has extensive
documentation associated with it, mainly in the form of a "program recipe"
that will serve as the basis for writing the code (although client stands
ready for advice and compromise in the development of the program). While
the code is fairly complex, each step is broken down into bite-sized pieces
and re-used multiple times throughout the program. While no GUI is
necessary for the second program, the primary challenges will be
interfacing the program to a data provider and brokerage firm (likely to be
the same) as well as the ability to perform both (historical) backtested
and real-time paper trading analyses.

 Primary duties for this position include (in order of importance):

 ● Converting written coding instructions into an operational programming
language (Java) suitable for high-frequency trade signal generation.

● Aiding in backtesting and validating the code using historical data and,
if economical, real world data. Backtesting would include risk and return
analysis, equity curve creation, and Type I and II probability analysis.

● Ability to interface programmed product among a Cloud-based computational
solution (current preference: Microsoft Azure) and brokerage account
(current preference: Interactive Brokers; also serves as current data
provider).

● Aiding in iterative algorithm optimization based on
backtesting/validation analyses.

 ● Ability to create rudimentary Graphical User Interfaces for various
programs to aid in "selling"

● Ad hoc regression and descriptive statistical analysis when needed both
on raw datasets and on the signals created by the trading model(s).

● Advising, where possible and appropriate, on observational improvements
in the IT, code, etc.

Note: some of the trading algorithms will require the use of statistical
and (Ordinary Least Squares) regression routines. Also, this position would
require the following technical skills:

 ● Strong knowledge and experience in a programming language(s) common in
the algorithmic trading industry; mainly Java (preferred) and with a
preference towards writing code for use in Cloud-based computing.

 ● Strong knowledge and experience in handling very large datasets,
particularly high-frequency market data.

 ● Ability to write trading algorithms that are optimizable according to
various profit-determining variables (e.g. length of time a trade is
allowed to sit unexecuted, etc.). Self-optimizing algorithms based on
numerical optimization (e.g. based on a rolling historical dataset, find
the decision parameter X that would have maximized profit; change variable
X in code going forward) are preferred.

 ● Knowledge in basic statistical- and regression- related routines with
some experience in basic statistical inference & reporting.

 ● Ability to fault-test and backtest/validate trading algorithms with
historical data and, preferred, live market data.

 ● Ability to articulate the project's progress, challenges, and
recommended improvements.
 ● Knowledge of various data and brokerage services preferred

-- 

Thanks

Nikhil Prasad

nik...@apetan.com

Apetan Consulting LLC

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