Before
hiring me.
The state of things, more or less everywhere.
- 01
A CV that lists tools.A CV that lists tools.
Everybody’s says Python and SQL. None of them tell you what the person does when the data turns out to be wrong, or whether they will be the one to say so.Everybody’s says Python and SQL. None of them tell you what the person does when the data turns out to be wrong, or whether they will be the one to say so.
- 02
Answers with no argument in them.Answers with no argument in them.
The analysis arrives finished. The assumptions are somewhere inside it, unreachable, so nobody can disagree with the thing on its own terms.The analysis arrives finished. The assumptions are somewhere inside it, unreachable, so nobody can disagree with the thing on its own terms.
- 03
Specialists who only specialise.Specialists who only specialise.
Someone who can model but not build, or build but not explain. The meaning goes missing in the handovers between them.Someone who can model but not build, or build but not explain. The meaning goes missing in the handovers between them.
- 04
Confidence standing in for evidence.Confidence standing in for evidence.
A number that sounds right, was never tested, and gets repeated until it is true. Nobody wants to be the one who asks where it came from.A number that sounds right, was never tested, and gets repeated until it is true. Nobody wants to be the one who asks where it came from.
After
hiring me.
What I bring, and what else there is.
- 01
The toolkit, used in anger.The toolkit, used in anger.
Python, SQL and R for the analysis. dbt, Airflow, Docker and GitHub Actions for the plumbing underneath it. FastAPI, PostgreSQL and Redis for the parts people actually touch. Language-model work with Hugging Face and the Claude API.Python, SQL and R for the analysis. dbt, Airflow, Docker and GitHub Actions for the plumbing underneath it. FastAPI, PostgreSQL and Redis for the parts people actually touch. Language-model work with Hugging Face and the Claude API.
- 02
Top of the cohort, twice.Top of the cohort, twice.
MSc Financial Technology at Warwick Business School, 74% overall and the top 10%. Before it, a BSc in Data Analytics and Finance ranked first in the cohort for three straight semesters, at 9.4 out of 10.MSc Financial Technology at Warwick Business School, 74% overall and the top 10%. Before it, a BSc in Data Analytics and Finance ranked first in the cohort for three straight semesters, at 9.4 out of 10.
- 03
337 out of 340.337 out of 340.
The GRE: 169 verbal, in the 99th percentile, and 168 quantitative. Proof of nothing on its own, but it is the same habit the rest of this runs on.The GRE: 169 verbal, in the 99th percentile, and 168 quantitative. Proof of nothing on its own, but it is the same habit the rest of this runs on.
- 04
Used to a room.Used to a room.
Toastmasters: speaking and leading in front of people whose job is to score you on it. Explaining a model to someone who did not build it is its own skill, and it is the one that decides whether the model gets used.Toastmasters: speaking and leading in front of people whose job is to score you on it. Explaining a model to someone who did not build it is its own skill, and it is the one that decides whether the model gets used.
- 05
Cricket, at national level.Cricket, at national level.
And sprinting. Both teach the same lesson: preparation is most of it, and the rest is what you do in the minutes after the plan stops working.And sprinting. Both teach the same lesson: preparation is most of it, and the rest is what you do in the minutes after the plan stops working.
- 06
A guitar, and strong opinions about music.A guitar, and strong opinions about music.
There is more here than a skills list. The curiosity that makes somebody good at this work is the same curiosity that makes them worth sitting next to for a year.There is more here than a skills list. The curiosity that makes somebody good at this work is the same curiosity that makes them worth sitting next to for a year.
Let’s find
common ground.
Finance, data, AI — or an interesting question between them. I’m interested in work that brings rigorous thinking into useful products, and in people who want to argue about the assumptions.
Shivaanjan Bhattacharjee
Rishi, for short.
MSc Financial Technology
Warwick Business School
- Based in
- London, United Kingdom
- Open to
- Roles in quantitative finance, payments and fraud analytics, and applied AI. Research questions welcome.
Email is the surest route. I read everything; I answer anything specific.