diff --git a/Cargo.lock b/Cargo.lock
index a6a9c37..cb49c62 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1410,7 +1410,7 @@ dependencies = [
 
 [[package]]
 name = "pyfusion"
-version = "1.4.0"
+version = "1.4.1-dev0"
 dependencies = [
  "bincode",
  "chrono",
diff --git a/Cargo.toml b/Cargo.toml
index 72beec1..98e2ffd 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "pyfusion"
-version = "1.4.0"
+version = "1.4.1-dev0"
 edition = "2021"
 
 
diff --git a/py_src/fusion/__init__.py b/py_src/fusion/__init__.py
index b86463d..a9c851f 100644
--- a/py_src/fusion/__init__.py
+++ b/py_src/fusion/__init__.py
@@ -2,7 +2,7 @@
 
 __author__ = """Fusion Devs"""
 __email__ = "fusion_developers@jpmorgan.com"
-__version__ = "1.4.0"
+__version__ = "1.4.1-dev0"
 
 from fusion._fusion import FusionCredentials
 from fusion.fs_sync import fsync
diff --git a/py_src/fusion/fusion.py b/py_src/fusion/fusion.py
index 25a7ba6..ac830ed 100644
--- a/py_src/fusion/fusion.py
+++ b/py_src/fusion/fusion.py
@@ -613,36 +613,38 @@ def _resolve_distro_tuples(
                 f"Check that a valid dataset identifier and date/date range has been set."
             )
 
+     
         if dt_str == "latest":
-            dt_str = datasetseries_list.iloc[
-                datasetseries_list["createdDate"].to_numpy().argmax()
-            ]["identifier"]
-
-        parsed_dates = normalise_dt_param_str(dt_str)
-        if len(parsed_dates) == 1:
-            parsed_dates = (parsed_dates[0], parsed_dates[0])
-
-        if parsed_dates[0]:
-            datasetseries_list = datasetseries_list[
-                pd.Series(
-                    [
-                        pd.to_datetime(i, errors="coerce")
-                        for i in datasetseries_list["identifier"]
-                    ]
-                )
-                >= pd.to_datetime(parsed_dates[0])
-            ].reset_index()
-
-        if parsed_dates[1]:
-            datasetseries_list = datasetseries_list[
-                pd.Series(
-                    [
-                        pd.to_datetime(i, errors="coerce")
-                        for i in datasetseries_list["identifier"]
-                    ]
-                )
-                <= pd.to_datetime(parsed_dates[1])
-            ].reset_index()
+            dt_str = datasetseries_list[
+                datasetseries_list["createdDate"]==datasetseries_list["createdDate"].to_numpy().max()
+            ].sort_values(by="identifier").iloc[-1]["identifier"]
+            datasetseries_list = datasetseries_list[datasetseries_list["identifier"] == dt_str]
+        else:
+            parsed_dates = normalise_dt_param_str(dt_str)
+            if len(parsed_dates) == 1:
+                parsed_dates = (parsed_dates[0], parsed_dates[0])
+
+            if parsed_dates[0]:
+                datasetseries_list = datasetseries_list[
+                    pd.Series(
+                        [
+                            pd.to_datetime(i, errors="coerce")
+                            for i in datasetseries_list["identifier"]
+                        ]
+                    )
+                    >= pd.to_datetime(parsed_dates[0])
+                ].reset_index()
+
+            if parsed_dates[1]:
+                datasetseries_list = datasetseries_list[
+                    pd.Series(
+                        [
+                            pd.to_datetime(i, errors="coerce")
+                            for i in datasetseries_list["identifier"]
+                        ]
+                    )
+                    <= pd.to_datetime(parsed_dates[1])
+                ].reset_index()
 
         if len(datasetseries_list) == 0:
             raise APIResponseError(  # pragma: no cover
@@ -677,7 +679,8 @@ def download(  # noqa: PLR0912, PLR0913
             dataset (str): A dataset identifier
             dt_str (str, optional): Either a single date or a range identified by a start or end date,
                 or both separated with a ":". Defaults to 'latest' which will return the most recent
-                instance of the dataset.
+                instance of the dataset. If more than one series member exists on the latest date, the
+                series member identifiers will be sorted alphabetically and the last one will be downloaded.
             dataset_format (str, optional): The file format, e.g. CSV or Parquet. Defaults to 'parquet'.
             catalog (str, optional): A catalog identifier. Defaults to 'common'.
             n_par (int, optional): Specify how many distributions to download in parallel.
diff --git a/pyproject.toml b/pyproject.toml
index 40bcde9..9805ea3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "pyfusion"
-version = "1.4.0"
+version = "1.4.1-dev0"
 
 homepage = "https://github.com/jpmorganchase/fusion"
 description = "JPMC Fusion Developer Tools"
@@ -92,7 +92,7 @@ dev-dependencies = [
     "auditwheel>=6.0.0; sys_platform=='linux'",
     "bump-my-version",
     "cffi>=1.16.0; sys_platform=='darwin'",
-    "freezegun>=1.4.0",
+    "freezegun>=1.4.1-dev0",
     "ipython",
     "maturin>=1.6,<2.0",
     "moto[s3]>=5.0.5",
@@ -224,7 +224,7 @@ omit = [
 
 
 [tool.bumpversion]
-current_version = "1.4.0"
+current_version = "1.4.1-dev0"
 parse = '(?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?:-(?P<release>[a-z]+)(?P<candidate>\d+))?'
 serialize = [
     '{major}.{minor}.{patch}-{release}{candidate}',